Nvidia

File:2484 Berryessa Road.jpg roadside diner in San Jose, California, where Nvidia's three co-founders agreed to start the company in late 1992]]

File:Nvidiaheadquarters.jpg

File:Nvidia campus aerial.jpg, in 2017. Apple Park is visible in the distance.]]

File:NVIDIA Headquarters.jpg

Nvidia was founded on April 5, 1993,{{Cite web |title=Company Info |url=https://www.nvidia.com/page/corporate_timeline.html |access-date=November 9, 2010 |publisher=Nvidia.com |archive-date=July 1, 2018 |archive-url=https://web.archive.org/web/20180701130728/http://www.nvidia.com/page/corporate_timeline.html |url-status=live}}{{Cite web |title=Jensen Huang: Executive Profile & Biography |url=https://www.bloomberg.com/research/stocks/private/person.asp?personId=230160&privcapId=32307 |access-date=June 21, 2018 |website=Bloomberg News |archive-date=June 22, 2018 |archive-url=https://web.archive.org/web/20180622004950/https://www.bloomberg.com/research/stocks/private/person.asp?personId=230160&privcapId=32307 |url-status=live}}{{cite web |last1=Huang |first1=Jen-Hsun |title=Articles of Incorporation of NVidia Corporation |url=https://bizfileonline.sos.ca.gov/api/report/GetImageByNum/034117059052077044090092010255252084026143162165 |website=bizfile online |publisher=California Secretary of State |access-date=October 11, 2024 |date=April 5, 1993}} by Jensen Huang (who, {{As of|2025|lc=yes}}, remains CEO), a Taiwanese-American electrical engineer who was previously the director of CoreWare at LSI Logic and a microprocessor designer at AMD; Chris Malachowsky, an engineer who worked at Sun Microsystems; and Curtis Priem, who was previously a senior staff engineer and graphics chip designer at IBM and Sun Microsystems.{{Cite web |title=NVIDIA Company History: Innovations Over the Years |url=https://www.nvidia.com/en-us/about-nvidia/corporate-timeline/|access-date=April 17, 2021 |website=NVIDIA |language=en-us|archive-date=March 9, 2024|archive-url=https://web.archive.org/web/20240309012821/https://www.nvidia.com/en-us/about-nvidia/corporate-timeline/|url-status=live}}{{Cite web |title=NVIDIA Corporation {{!}} History, Headquarters, & Facts|url=https://www.britannica.com/topic/NVIDIA-Corporation|access-date=April 17, 2021|website=Encyclopedia Britannica|language=en|archive-date=April 26, 2021|archive-url=https://web.archive.org/web/20210426123917/https://www.britannica.com/topic/NVIDIA-Corporation|url-status=live}} In late 1992, the three men agreed to start the company in a meeting at a Denny's roadside diner on Berryessa Road in East San Jose.{{cite news |last1=Tilley |first1=Aaron |date=November 30, 2016 |title=The New Intel: How Nvidia Went From Powering Video Games To Revolutionizing Artificial Intelligence |url=https://www.forbes.com/sites/aarontilley/2016/11/30/nvidia-deep-learning-ai-intel/?sh=6c0e3f037ff1 |access-date=March 14, 2023 |work=Forbes |archive-date=March 14, 2023 |archive-url=https://web.archive.org/web/20230314141243/https://www.forbes.com/sites/aarontilley/2016/11/30/nvidia-deep-learning-ai-intel/?sh=6c0e3f037ff1 |url-status=live}} This article was written by a Forbes staff member and was published in the December 19, 2016, issue of Forbes magazine.{{cite magazine |last1=Witt |first1=Stephen |title=How Jensen Huang's Nvidia Is Powering the A.I. Revolution |url=https://www.newyorker.com/magazine/2023/12/04/how-jensen-huangs-nvidia-is-powering-the-ai-revolution |access-date=December 5, 2023 |magazine=The New Yorker |date=November 27, 2023 |archive-date=November 27, 2023 |archive-url=https://archive.today/20231127154917/https://www.newyorker.com/magazine/2023/12/04/how-jensen-huangs-nvidia-is-powering-the-ai-revolution |url-status=live}}{{cite news |last1=Whitaker |first1=Bill |authorlink1=Bill Whitaker (journalist) |title=Meet Nvidia CEO Jensen Huang, the man behind the $2 trillion company powering today's artificial intelligence |url=https://www.cbsnews.com/news/meet-nvida-ceo-jensen-huang-company-powering-ai-today-60-minutes-transcript/ |access-date=June 19, 2024 |work=60 Minutes |date=April 28, 2024}}{{cite book |last1=Kim |first1=Tae |title=The Nvidia Way: Jensen Huang and the Making of a Tech Giant |date=2024 |publisher=W.W. Norton & Company |location=New York |isbn=978-1324086710 |page=37}}

At the time, Malachowsky and Priem were frustrated with Sun's management and were looking to leave, but Huang was on "firmer ground",{{Cite web |last=Nusca |first=Andrew |date=November 16, 2017 |title=This Man Is Leading an AI Revolution in Silicon Valley—And He's Just Getting Started |url=https://fortune.com/2017/11/16/nvidia-ceo-jensen-huang/ |archive-url=https://web.archive.org/web/20171116192021/http://fortune.com/2017/11/16/nvidia-ceo-jensen-huang/ |archive-date=November 16, 2017 |access-date=November 28, 2017 |website=Fortune}} in that he was already running his own division at LSI. The three co-founders discussed a vision of the future which was so compelling that Huang decided to leave LSI and become the chief executive officer of their new startup.

The three co-founders envisioned graphics-based processing as the best trajectory for tackling challenges that had eluded general-purpose computing methods. As Huang later explained: "We also observed that video games were simultaneously one of the most computationally challenging problems and would have incredibly high sales volume. Those two conditions don't happen very often. Video games was our killer app — a flywheel to reach large markets funding huge R&D to solve massive computational problems."

The first problem was who would quit first. Huang's wife, Lori, did not want him to resign from LSI unless Malachowsky resigned from Sun at the same time, and Malachowsky's wife, Melody, felt the same way about Huang.{{cite book |last1=Kim |first1=Tae |title=The Nvidia Way: Jensen Huang and the Making of a Tech Giant |date=2024 |publisher=W.W. Norton & Company |location=New York |isbn=978-1324086710 |page=38}} Priem broke that deadlock by resigning first from Sun, effective December 31, 1992. According to Priem, this put pressure on Huang and Malachowsky to not leave him to "flail alone", so they gave notice too.{{cite book |last1=Kim |first1=Tae |title=The Nvidia Way: Jensen Huang and the Making of a Tech Giant |date=2024 |publisher=W.W. Norton & Company |location=New York |isbn=978-1324086710 |page=39}} Huang left LSI and "officially joined Priem on February 17", which was also Huang's 30th birthday, while Malachowsky left Sun in early March. In early 1993, the three founders began working together on their new startup in Priem's townhouse in Fremont, California.{{cite book |last1=Kim |first1=Tae |title=The Nvidia Way: Jensen Huang and the Making of a Tech Giant |date=2024 |publisher=W.W. Norton & Company |location=New York |isbn=978-1324086710 |page=41}}

With $40,000 in the bank, the company was born. The company subsequently received $20 million of venture capital funding from Sequoia Capital, Sutter Hill Ventures and others.{{Cite web |last=Williams |first=Elisa |date=April 15, 2002 |title=Crying wolf |url=https://www.forbes.com/global/2002/0415/032.html |access-date=February 11, 2017 |website=Forbes |quote=Huang, a chip designer at AMD and LSI Logic, co-founded the company in 1993 with $2 million from Sequoia Capital and others. |archive-date=November 29, 2020 |archive-url=https://web.archive.org/web/20201129211130/https://www.forbes.com/global/2002/0415/032.html |url-status=live}}

During the late 1990s, Nvidia was one of 70 startup companies pursuing the idea that graphics acceleration for video games was the path to the future. Only two survived: Nvidia and ATI Technologies, the latter of which merged into AMD.

Nvidia initially had no name.{{cite book |last1=Kim |first1=Tae |title=The Nvidia Way: Jensen Huang and the Making of a Tech Giant |date=2024 |publisher=W.W. Norton & Company |location=New York |isbn=978-1324086710 |page=42}} Priem's first idea was "Primal Graphics", a syllabic abbreviation of two of the founders' last names, but that left out Huang. They soon discovered it was impossible to create a workable name with syllables from all three founders' names, after considering "Huaprimal", "Prihuamal", "Malluapri", etc. The next idea came from Priem's idea for the name of Nvidia's first product. Priem originally wanted to call it the "GXNV", as in the "next version" of the GX graphics chips which he had worked on at Sun. Then Huang told Priem to "drop the GX", resulting in the name "NV". Priem made a list of words with the letters "NV" in them. At one point, Malachowsky and Priem wanted to call the company NVision, but that name was already taken by a manufacturer of toilet paper. Both Priem and Huang have taken credit for coming up with the name Nvidia, from "invidia", the Latin word for "envy".

After the company outgrew Priem's townhouse, its original headquarters office was in Sunnyvale, California.

Nvidia's first graphics accelerator, the NV1, was designed to process quadrilateral primitives (forward texture mapping), a feature that set it apart from competitors, who preferred triangle primitives. However, when Microsoft introduced the DirectX platform, it chose not to support any other graphics software and announced that its Direct3D API would exclusively support triangles.{{cite news |last1=Peddie |first1=Jon |date=September 23, 2019 |title=Nvidia's RIVA 128 |url=https://www.electronicdesign.com/technologies/embedded/article/21131077/jon-peddie-research-nvidias-riva-128 |url-status=live |archive-url=https://web.archive.org/web/20240119155034/https://www.electronicdesign.com/technologies/embedded/article/21131077/jon-peddie-research-nvidias-riva-128 |archive-date=January 19, 2024 |access-date=December 5, 2023 |work=Electronic Design}} As a result, the NV1 failed to gain traction in the market.{{Cite book |last=Kim |first=Tae |title=The Nvidia Way: Jensen Huang and the Making of a Tech Giant |date=2024 |publisher=W. W. Norton & Company, Incorporated |isbn=978-1-324-08672-7 |edition=1st |location=}}

Nvidia had also entered into a partnership with Sega to supply the graphics chip for the Dreamcast console and worked on the project for about a year. However, Nvidia's technology was already lagging behind competitors. This placed the company in a difficult position: continue working on a chip that was likely doomed to fail or abandon the project, risking financial collapse.{{Cite news |last=Cohen |first=Ben |date=May 18, 2024 |title=The 84-Year-Old Man Who Saved Nvidia |url=https://www.wsj.com/business/nvidia-stock-jensen-huang-sega-irimajiri-chips-ai-906247db |url-access=subscription |url-status=live |archive-url=https://archive.today/20240518101129/https://www.wsj.com/business/nvidia-stock-jensen-huang-sega-irimajiri-chips-ai-906247db |archive-date=May 18, 2024 |work=The Wall Street Journal}}

In a pivotal moment, Sega's president, Shoichiro Irimajiri, visited Huang in person to inform him that Sega had decided to choose another vendor for the Dreamcast. However, Irimajiri believed in Nvidia's potential and persuaded Sega's management to invest $5 million into the company. Huang later reflected that this funding was all that kept Nvidia afloat, and that Irimajiri's "understanding and generosity gave us six months to live".

In 1996, Huang laid off more than half of Nvidia's employees—thereby reducing headcount from 100 to 40—and focused the company's remaining resources on developing a graphics accelerator product optimized for processing triangle primitives: the RIVA 128. By the time the RIVA 128 was released in August 1997, Nvidia had only enough money left for one month's payroll. The sense of impending failure became so pervasive that it gave rise to Nvidia's unofficial company motto: "Our company is thirty days from going out of business." Huang began internal presentations to Nvidia staff with those words for many years.

Nvidia sold about a million RIVA 128 units within four months, and used the revenue to fund development of its next generation of products. In 1998, the release of the RIVA TNT helped solidify Nvidia's reputation as a leader in graphics technology.{{Cite web |last=Fulton |first=Kane |date=2015-07-20 |title=19 graphics cards that shaped the future of gaming |url=https://www.techradar.com/news/gaming/19-graphics-cards-that-shaped-the-future-of-gaming-1289666 |access-date=2024-09-03 |website=TechRadar |language=en}}

Nvidia went public on January 22, 1999.{{Cite web |last=Feinstein |first=Ken |date=January 22, 1999 |title=Nvidia Goes Public |url=http://gamecenter.com/News/Item/0,3,0-2433,00.html |archive-url=https://web.archive.org/web/19991012205847/http://gamecenter.com/News/Item/0,3,0-2433,00.html |archive-date=October 12, 1999 |access-date=July 13, 2019 |website=gamecenter.co}}{{Cite web |last=Takahashi |first=Dean |date=January 25, 1999 |title=Shares of Nvidia Surge 64% After Initial Public Offering |url=https://www.wsj.com/articles/SB917224371262043000 |url-access=subscription |access-date=July 13, 2019 |newspaper=The Wall Street Journal |archive-date=April 5, 2019 |archive-url=https://web.archive.org/web/20190405073139/https://www.wsj.com/articles/SB917224371262043000 |url-status=live}}{{Cite web |date=January 22, 1999 |title=NVIDIA Corporation Announces Initial Public Offering of 3,500,000 Shares of Common Stock |url=https://www.nvidia.com/object/IO_20020108_6739.html |access-date=July 13, 2019 |website=nvidia.com |archive-date=July 13, 2019 |archive-url=https://web.archive.org/web/20190713074208/https://www.nvidia.com/object/IO_20020108_6739.html |url-status=live}} Investing in Nvidia after it had already failed to deliver on its contract turned out to be Irimajiri's best decision as Sega's president. After Irimajiri left Sega in 2000, Sega sold its Nvidia stock for $15 million.

In late 1999, Nvidia released the GeForce 256 (NV10), its first product expressly marketed as a GPU, which was most notable for introducing onboard transformation and lighting (T&L) to consumer-level 3D hardware. Running at 120 MHz and featuring four-pixel pipelines, it implemented advanced video acceleration, motion compensation, and hardware sub-picture alpha blending. The GeForce outperformed existing products by a wide margin.

Due to the success of its products, Nvidia won the contract to develop the graphics hardware for Microsoft's Xbox game console, which earned Nvidia a $200 million advance. However, the project took many of its best engineers away from other projects. In the short term this did not matter, and the GeForce2 GTS shipped in the summer of 2000. In December 2000, Nvidia reached an agreement to acquire the intellectual assets of its one-time rival 3dfx, a pioneer in consumer 3D graphics technology leading the field from the mid-1990s until 2000.{{Cite press release |title=NVIDIA to Acquire 3dfx Core Graphics Assets |date=December 15, 2000 |location=Santa Clara, CA |url=https://www.nvidia.com/object/IO_20010612_6602.html |last1=Perez |first1=Derek |last2=Hara |first2=Michael |access-date=January 23, 2017 |archive-date=March 30, 2019 |archive-url=https://web.archive.org/web/20190330171444/https://www.nvidia.com/object/IO_20010612_6602.html |url-status=live}}{{Cite press release |title=3dfx Announces Three Major Initiatives To Protect Creditors and Maximize Shareholder Value |date=December 15, 2000 |location=San Jose, CA |url=http://3dfx.com/rel-15dec_2.htm |quote=Board of Directors Initiates Cost-Cutting Measures, Recommends to Shareholders Sale of Company Assets to NVIDIA Corporation for $112 million and Dissolution of Company |last1=Leupp |first1=Alex |last2=Sellers |first2=Scott |access-date=January 23, 2017 |archive-url=https://web.archive.org/web/20010205193000/http://3dfx.com/rel-15dec_2.htm |archive-date=February 5, 2001 |url-status=dead}} The acquisition process was finalized in April 2002.{{Cite web |last=Kanellos |first=Michael |date=April 11, 2002 |title=Nvidia buys out 3dfx graphics chip business |url=https://www.cnet.com/news/nvidia-buys-out-3dfx-graphics-chip-business/ |access-date=January 23, 2017 |website=CNET |archive-date=January 19, 2021 |archive-url=https://web.archive.org/web/20210119063532/https://www.cnet.com/news/nvidia-buys-out-3dfx-graphics-chip-business/ |url-status=live}}

In 2001, Standard & Poor's selected Nvidia to replace the departing Enron in the S&P 500 stock index, meaning that index funds would need to hold Nvidia shares going forward.{{cite news |last1=Popina |first1=Elena |last2=Menton |first2=Jess |title=Nvidia Is the Latest Shiny Object to Spur Stocks to New Heights |url=https://www.bloomberg.com/news/articles/2024-03-06/nvidia-ai-stocks-are-latest-trend-to-send-s-p-500-to-new-highs |access-date=March 6, 2024 |work=Bloomberg Businessweek |date=March 6, 2024 |url-access=subscription |archive-date=March 6, 2024 |archive-url=https://web.archive.org/web/20240306100548/https://www.bloomberg.com/news/articles/2024-03-06/nvidia-ai-stocks-are-latest-trend-to-send-s-p-500-to-new-highs |url-status=live}}

In July 2002, Nvidia acquired Exluna for an undisclosed sum. Exluna made software-rendering tools and the personnel were merged into the Cg project.{{Cite web |last=Becker |first=David |title=Nvidia buys out Exluna |url=http://news.cnet.com/Nvidia-buys-software-company/2100-1040_3-945553.html |access-date=November 9, 2010 |publisher=News.cnet.com |archive-date=October 17, 2014 |archive-url=https://web.archive.org/web/20141017134328/http://news.cnet.com/Nvidia-buys-software-company/2100-1040_3-945553.html |url-status=live}} In August 2003, Nvidia acquired MediaQ for approximately US$70 million.{{Cite web |date=August 21, 2003 |title=NVIDIA Completes Purchase of MediaQ |url=http://www.mediaq.com/page/home.html |access-date=August 21, 2016 |website=Press Release |publisher=NVIDIA Corporation |archive-date=January 9, 2014 |archive-url=https://web.archive.org/web/20140109223435/http://www.mediaq.com/page/home.html |url-status=dead}} It launched GoForce the following year. On April 22, 2004, Nvidia acquired iReady, also a provider of high-performance TCP offload engines and iSCSI controllers.{{Cite web |date=April 22, 2004 |title=NVIDIA Announces Acquisition of iReady |url=https://www.nvidia.com/object/IO_12881.html |access-date=August 21, 2016 |website=Press Release |publisher=NVIDIA Corporation |archive-date=December 31, 2017 |archive-url=https://web.archive.org/web/20171231211950/https://www.nvidia.com/object/IO_12881.html |url-status=live}} In December 2004, it was announced that Nvidia would assist Sony with the design of the graphics processor (RSX) for the PlayStation 3 game console. On December 14, 2005, Nvidia acquired ULI Electronics, which at the time supplied third-party southbridge parts for chipsets to ATI, Nvidia's competitor.{{Cite web |last= |date=December 14, 2005 |title=NVIDIA to Acquire ULi Electronics, a Leading Developer of Core Logic Technology |url=https://www.nvidia.com/object/IO_28250.html |access-date=August 21, 2016 |website=Press Release |publisher=NVIDIA Corporation |archive-date=June 2, 2019 |archive-url=https://web.archive.org/web/20190602092801/https://www.nvidia.com/object/IO_28250.html |url-status=live}} In March 2006, Nvidia acquired Hybrid Graphics.{{Cite web |last=Smith |first=Tony |date=March 22, 2006 |title=Nvidia acquires Hybrid Graphics – Middleware purchase |url=http://www.reghardware.com/2006/03/22/nvidia_buys_hybrid/ |access-date=August 21, 2016 |website=Hardware |publisher=The Register |archive-date=January 16, 2013 |archive-url=https://web.archive.org/web/20130116072844/http://www.reghardware.com/2006/03/22/nvidia_buys_hybrid/ |url-status=dead}} In December 2006, Nvidia, along with its main rival in the graphics industry AMD (which had acquired ATI), received subpoenas from the U.S. Department of Justice regarding possible antitrust violations in the graphics card industry.{{Cite web |last1=Krazit |first1=Tom |last2=McCarthy |first2=Caroline |date=December 1, 2006 |title=Justice Dept. subpoenas AMD, Nvidia |url=http://news.zdnet.com/2100-9584_22-6140041.html |archive-url=https://web.archive.org/web/20061208175421/http://news.zdnet.com/2100-9584_22-6140041.html |archive-date=December 8, 2006 |website=New York Times}}

Forbes named Nvidia its Company of the Year for 2007, citing the accomplishments it made during the said period as well as during the previous five years.{{Cite news |last=Brian Caulfield |date=January 7, 2008 |title=Shoot to Kill |work=Forbes |url=https://www.forbes.com/forbes/2008/0107/092.html |access-date=December 26, 2007 |archive-date=September 18, 2018 |archive-url=https://web.archive.org/web/20180918231637/https://www.forbes.com/forbes/2008/0107/092.html |url-status=live}} On January 5, 2007, Nvidia announced that it had completed the acquisition of PortalPlayer, Inc.{{Cite web |last= |date=January 5, 2007 |title=Nvidia acquires PortalPlayer |url=https://www.nvidia.com/object/portalplayer_acquisition.html |access-date=August 21, 2016 |website=Press Release |publisher=NVIDIA Corporation |archive-date=June 30, 2017 |archive-url=https://web.archive.org/web/20170630133005/http://www.nvidia.com/object/portalplayer_acquisition.html |url-status=live}} In February 2008, Nvidia acquired Ageia, developer of PhysX, a physics engine and physics processing unit. Nvidia announced that it planned to integrate the PhysX technology into its future GPU products.{{Cite web |title=Nvidia to acquire Ageia for the PhysX chip |url=https://www.cnet.com/news/nvidia-to-acquire-ageia-for-the-physx-chip/ |access-date=May 26, 2017 |website=CNET |archive-date=September 18, 2018 |archive-url=https://web.archive.org/web/20180918231037/https://www.cnet.com/news/nvidia-to-acquire-ageia-for-the-physx-chip/ |url-status=live}}{{Cite web |title=Did NVIDIA cripple its CPU gaming physics library to spite Intel? |url=https://arstechnica.com/gaming/2010/07/did-nvidia-cripple-its-cpu-gaming-physics-library-to-spite-intel/ |access-date=May 26, 2017 |website=Ars Technica |date=July 9, 2010 |archive-date=January 12, 2021 |archive-url=https://web.archive.org/web/20210112015332/https://arstechnica.com/gaming/2010/07/did-nvidia-cripple-its-cpu-gaming-physics-library-to-spite-intel/ |url-status=live}}

In July 2008, Nvidia took a write-down of approximately $200 million on its first-quarter revenue, after reporting that certain mobile chipsets and GPUs produced by the company had "abnormal failure rates" due to manufacturing defects. Nvidia, however, did not reveal the affected products. In September 2008, Nvidia became the subject of a class action lawsuit over the defects, claiming that the faulty GPUs had been incorporated into certain laptop models manufactured by Apple Inc., Dell, and HP. In September 2010, Nvidia reached a settlement, in which it would reimburse owners of the affected laptops for repairs or, in some cases, replacement.{{Cite web |title=Nvidia GPU Class-Action Settlement Offers Repairs, New Laptops |url=https://www.pcmag.com/article2/0,2817,2370032,00.asp |access-date=May 26, 2017 |website=PC Magazine |archive-date=January 10, 2019 |archive-url=https://web.archive.org/web/20190110081429/https://www.pcmag.com/article2/0,2817,2370032,00.asp |url-status=live}}{{Cite web |title=Update: Nvidia Says Older Mobile GPUs, Chipsets Failing |url=https://www.extremetech.com/extreme/82266-update-nvidia-says-older-mobile-gpus-chipsets-failing |access-date=May 26, 2017 |website=ExtremeTech |date=July 3, 2008 |archive-date=October 30, 2020 |archive-url=https://web.archive.org/web/20201030143138/https://www.extremetech.com/extreme/82266-update-nvidia-says-older-mobile-gpus-chipsets-failing |url-status=live}} On January 10, 2011, Nvidia signed a six-year, $1.5 billion cross-licensing agreement with Intel, ending all litigation between the two companies.{{Cite web |title=Intel agrees to pay NVIDIA $1.5b in patent license fees, signs cross-license |url=https://www.engadget.com/2011/01/10/intel-agrees-to-pay-nvidia-1-5b-in-patent-license-fees-signs-c/ |access-date=May 26, 2017 |website=Engadget |date=January 10, 2011 |archive-date=December 17, 2018 |archive-url=https://web.archive.org/web/20181217220145/https://www.engadget.com/2011/01/10/intel-agrees-to-pay-nvidia-1-5b-in-patent-license-fees-signs-c/ |url-status=live}}

In November 2011, after initially unveiling it at Mobile World Congress, Nvidia released its ARM-based system on a chip for mobile devices, Tegra 3. Nvidia claimed that the chip featured the first-ever quad-core mobile CPU.{{Cite web |title=Nvidia Tegra 3: what you need to know |url=http://www.techradar.com/news/mobile-computing/nvidia-tegra-3-what-you-need-to-know-1039584 |access-date=May 26, 2017 |website=Techradar |date=November 9, 2011 |archive-date=December 4, 2020 |archive-url=https://web.archive.org/web/20201204225157/https://www.techradar.com/news/mobile-computing/nvidia-tegra-3-what-you-need-to-know-1039584 |url-status=live}}{{Cite magazine |title=Nvidia Quad Core Mobile Processors Coming in August |url=http://www.pcworld.com/article/219768/nvidia_quad_core_mobile_processors_coming_in_august.html |magazine=PC World |access-date=February 15, 2011 |archive-date=July 29, 2016 |archive-url=https://web.archive.org/web/20160729190458/http://www.pcworld.com/article/219768/nvidia_quad_Core_mobile_processors_coming_in_august.html |url-status=live}} In May 2011, it was announced that Nvidia had agreed to acquire Icera, a baseband chip making company in the UK, for $367 million.{{Cite news |date=May 9, 2011 |title=Cambridge coup as Icera goes to Nvidia for £225m |publisher=Business Weekly |url=http://www.businessweekly.co.uk/hi-tech/11782-cambridge-coup-as-icera-goes-to-nvidia-for-p225m |access-date=May 10, 2011 |archive-date=January 12, 2015 |archive-url=https://web.archive.org/web/20150112153522/http://www.businessweekly.co.uk/hi-tech/11782-cambridge-coup-as-icera-goes-to-nvidia-for-p225m |url-status=dead}} In January 2013, Nvidia unveiled the Tegra 4, as well as the Nvidia Shield, an Android-based handheld game console powered by the new system on a chip.{{Cite web |title=Nvidia announces Project Shield handheld gaming system with 5-inch multitouch display, available in Q2 of this year |url=https://www.theverge.com/2013/1/7/3845282/nvidia-announces-project-shield-handheld-gaming-system |access-date=May 26, 2017 |website=The Verge |date=January 7, 2013 |archive-date=December 19, 2020 |archive-url=https://web.archive.org/web/20201219055620/https://www.theverge.com/2013/1/7/3845282/nvidia-announces-project-shield-handheld-gaming-system |url-status=live}} On July 29, 2013, Nvidia announced that they acquired PGI from STMicroelectronics.{{Cite news |date=July 29, 2013 |title=NVIDIA Pushes Further into HPC With Portland Group Acquisition – insideHPC |language=en-US |work=insideHPC |url=https://insidehpc.com/2013/07/nvidia-acquires-the-portland-group-to-double-down-on-hpc/ |access-date=August 25, 2017 |archive-date=October 22, 2020 |archive-url=https://web.archive.org/web/20201022151805/https://insidehpc.com/2013/07/nvidia-acquires-the-portland-group-to-double-down-on-hpc/ |url-status=live}}

In February 2013, Nvidia announced its plans to build a new headquarters in the form of two giant triangle-shaped buildings on the other side of San Tomas Expressway (to the west of its existing headquarters complex). The company selected triangles as its design theme. As Huang explained in a blog post, the triangle is "the fundamental building block of computer graphics".{{cite magazine |last1=McMillan |first1=Robert |title=Nvidia Answers Apple Spaceship With Triangle Temple |url=https://www.wired.com/2013/02/nvidia-hq/ |access-date=February 24, 2024 |magazine=Wired |date=February 20, 2013 |archive-date=February 23, 2024 |archive-url=https://web.archive.org/web/20240223182712/https://www.wired.com/2013/02/nvidia-hq/ |url-status=live}}

In 2014, Nvidia ported the Valve games Portal and Half Life 2 to its Nvidia Shield tablet as Lightspeed Studio.{{Cite web |last=Machkovech |first=Sam |date=May 12, 2014 |title=Half-Life 2, Portal see first-ever Android ports on Nvidia Shield |url=https://arstechnica.com/gaming/2014/05/half-life-2-portal-see-first-ever-android-ports-on-nvidia-shield/ |access-date=July 8, 2022 |website=Ars Technica |language=en-us |archive-date=July 8, 2022 |archive-url=https://web.archive.org/web/20220708142058/https://arstechnica.com/gaming/2014/05/half-life-2-portal-see-first-ever-android-ports-on-nvidia-shield/ |url-status=live}}{{Cite web |date=June 12, 2021 |title=Nvidia CEO Jensen Huang weighs in on the metaverse, blockchain, and chip shortage |url=https://venturebeat.com/2021/06/12/nvidia-ceo-jensen-huang-weighs-in-on-the-metaverse-blockchain-chip-shortage-arm-deal-and-competition/ |access-date=July 8, 2022 |website=VentureBeat |language=en-US |archive-date=July 8, 2022 |archive-url=https://web.archive.org/web/20220708142058/https://venturebeat.com/2021/06/12/nvidia-ceo-jensen-huang-weighs-in-on-the-metaverse-blockchain-chip-shortage-arm-deal-and-competition/ |url-status=live}} Since 2014, Nvidia has diversified its business focusing on three markets: gaming, automotive electronics, and mobile devices.{{Cite web |last=Team |first=Trefis |date=December 31, 2014 |title=Nvidia's Performance In 2014: Factors That Are Driving Growth |url=https://www.forbes.com/sites/greatspeculations/2014/12/31/nvidias-performance-in-2014-factors-that-are-driving-growth/ |access-date=October 7, 2020 |website=Forbes |language=en |archive-date=September 20, 2015 |archive-url=https://web.archive.org/web/20150920182711/http://www.forbes.com/sites/greatspeculations/2014/12/31/nvidias-performance-in-2014-factors-that-are-driving-growth/ |url-status=live}}

That same year, Nvidia also prevailed in litigation brought by the trustee of 3dfx's bankruptcy estate to challenge its 2000 acquisition of 3dfx's intellectual assets. On November 6, 2014, in an unpublished memorandum order, the U.S. Court of Appeals for the Ninth Circuit affirmed the "district court's judgment affirming the bankruptcy court's determination that [Nvidia] did not pay less than fair market value for assets purchased from 3dfx shortly before 3dfx filed for bankruptcy".[https://casetext.com/case/brandt-v-nvidia-corp-in-re-3dfx-interactive In re 3dfx Interactive, Inc.], 585 F. App'x 626 (9th Cir. 2014).

On May 6, 2016, Nvidia unveiled the first GPUs of the GeForce 10 series, the GTX 1080 and 1070, based on the company's new Pascal microarchitecture. Nvidia claimed that both models outperformed its Maxwell-based Titan X model; the models incorporate GDDR5X and GDDR5 memory respectively, and use a 16 nm manufacturing process. The architecture also supports a new hardware feature known as simultaneous multi-projection (SMP), which is designed to improve the quality of multi-monitor and virtual reality rendering.{{Cite web |title=Nvidia's new graphics cards are a big deal |url=https://www.theverge.com/circuitbreaker/2016/5/7/11615806/nvidia-gtx-1080-1070-pascal-specs-price-release-date |access-date=May 26, 2017 |website=The Verge |date=May 7, 2016 |archive-date=November 8, 2020 |archive-url=https://web.archive.org/web/20201108111404/http://www.theverge.com/circuitbreaker/2016/5/7/11615806/nvidia-gtx-1080-1070-pascal-specs-price-release-date |url-status=live}}{{Cite web |last=Mark Walton |date=May 7, 2016 |title=Nvidia's GTX 1080 and GTX 1070 revealed: Faster than Titan X at half the price |url=https://arstechnica.com/gadgets/2016/05/nvidia-gtx-1080-1070-pascal-specs-pricing-revealed/ |website=Ars Technica |access-date=June 14, 2017 |archive-date=January 23, 2021 |archive-url=https://web.archive.org/web/20210123122332/https://arstechnica.com/gadgets/2016/05/nvidia-gtx-1080-1070-pascal-specs-pricing-revealed/ |url-status=live}}{{Cite web |last=Joel Hruska |date=May 10, 2016 |title=Nvidia's Ansel, VR Funhouse apps will enhance screenshots, showcase company's VR technology |url=http://www.extremetech.com/gaming/228100-nvidias-ansel-vr-funhouse-apps-will-enhance-screenshots-showcase-companys-vr-technology |website=ExtremeTech |access-date=May 12, 2016 |archive-date=November 28, 2020 |archive-url=https://web.archive.org/web/20201128225929/https://www.extremetech.com/gaming/228100-nvidias-ansel-vr-funhouse-apps-will-enhance-screenshots-showcase-companys-vr-technology |url-status=live}} Laptops that include these GPUs and are sufficiently thin – as of late 2017, under {{convert|0.8|inch}} – have been designated as meeting Nvidia's "Max-Q" design standard.{{Cite web |last=Crider |first=Michael |date=October 5, 2017 |title=What Are NVIDIA MAX-Q Laptops? |url=https://www.howtogeek.com/327019/what-is-nvidia-max-q/ |access-date=December 18, 2017 |publisher=How-To Geek |archive-date=November 28, 2020 |archive-url=https://web.archive.org/web/20201128030447/https://www.howtogeek.com/327019/what-is-nvidia-max-q/ |url-status=live}}

In July 2016, Nvidia agreed to a settlement for a false advertising lawsuit regarding its GTX 970 model, as the models were unable to use all of their advertised 4 GB of VRAM due to limitations brought by the design of its hardware.{{Cite news |last=Smith |first=Ryan |title=Update: NVIDIA GeForce GTX 970 Settlement Claims Website Now Open |work=Anandtech |publisher=Purch, Inc. |url=http://www.anandtech.com/show/10532/nvidia-gtx-970-settlement-claims |access-date=November 15, 2016 |archive-date=November 12, 2020 |archive-url=https://web.archive.org/web/20201112002256/https://www.anandtech.com/show/10532/nvidia-gtx-970-settlement-claims |url-status=live}} In May 2017, Nvidia announced a partnership with Toyota which would use Nvidia's Drive PX-series artificial intelligence platform for its autonomous vehicles.{{Cite news |last=Alexandria Sage |date=May 10, 2017 |title=Nvidia says Toyota will use its AI technology for self-driving cars |work=Reuters |url=https://www.reuters.com/article/us-nvidia-toyota-self-driving-idUSKBN1862M5 |access-date=July 2, 2017 |archive-date=November 12, 2020 |archive-url=https://web.archive.org/web/20201112031928/https://www.reuters.com/article/us-nvidia-toyota-self-driving-idUSKBN1862M5 |url-status=live}} In July 2017, Nvidia and Chinese search giant Baidu announced a far-reaching AI partnership that includes cloud computing, autonomous driving, consumer devices, and Baidu's open-source AI framework PaddlePaddle. Baidu unveiled that Nvidia's Drive PX 2 AI will be the foundation of its autonomous-vehicle platform.{{Cite web |url=https://www.fool.com/investing/2017/07/07/nvidia-and-baidu-join-forces-in-far-reaching-ai-pa.aspx |title=NVIDIA and Baidu Join Forces in Far-Reaching AI Partnership |first=Danny |last=Vena |date=July 7, 2017 |website=The Motley Fool|access-date=July 9, 2017|archive-date=November 27, 2020|archive-url=https://web.archive.org/web/20201127002134/https://www.fool.com/investing/2017/07/07/nvidia-and-baidu-join-forces-in-far-reaching-ai-pa.aspx|url-status=live}}

Nvidia officially released the Titan V on December 7, 2017.{{Cite web |title=NVIDIA TITAN V Transforms the PC into AI Supercomputer |url=https://nvidianews.nvidia.com/news/nvidia-titan-v-transforms-the-pc-into-ai-supercomputer |date=December 7, 2017 |website=NVIDIA Newsroom |access-date=December 8, 2017 |archive-date=November 9, 2020 |archive-url=https://web.archive.org/web/20201109014017/https://nvidianews.nvidia.com/news/nvidia-titan-v-transforms-the-pc-into-ai-supercomputer |url-status=live}}{{Cite web |title=The World's Most Powerful Graphics Card {{!}} NVIDIA TITAN V |url=https://www.nvidia.com/en-us/titan/titan-v/ |website=NVIDIA |access-date=December 8, 2017 |archive-date=November 12, 2020 |archive-url=https://web.archive.org/web/20201112220854/https://www.nvidia.com/en-us/titan/titan-v/ |url-status=dead }}

Nvidia officially released the Nvidia Quadro GV100 on March 27, 2018.{{Cite web |url=http://nvidianews.nvidia.com/news |title=News Archive |website=NVIDIA Newsroom|access-date=April 26, 2021|archive-date=April 21, 2021|archive-url=https://web.archive.org/web/20210421043716/https://nvidianews.nvidia.com/news|url-status=live}} Nvidia officially released the RTX 2080 GPUs on September 27, 2018. In 2018, Google announced that Nvidia's Tesla P4 graphic cards would be integrated into Google Cloud service's artificial intelligence.{{Cite web |title=Google Cloud gets support for Nvidia's Tesla P4 inferencing accelerators |date=August 6, 2018 |url=https://techcrunch.com/2018/08/06/google-cloud-gets-support-for-nvidias-tesla-p4-inferencing-accelerators/ |access-date=August 30, 2018 |publisher=Tech Crunch |archive-date=November 28, 2020 |archive-url=https://web.archive.org/web/20201128231831/https://techcrunch.com/2018/08/06/google-cloud-gets-support-for-nvidias-tesla-p4-inferencing-accelerators/ |url-status=live}}

In May 2018, on the Nvidia user forum, a thread was startedMay 10, 2018. [https://devtalk.nvidia.com/default/topic/1042520/drivers/-when-will-the-nvidia-web-drivers-be-released-for-macos-mojave-10-14-/ 'When will the Nvidia Web Drivers be released for macOS Mojave 10.14'] {{Webarchive|url=https://web.archive.org/web/20210403000809/https://forums.developer.nvidia.com/t/when-will-the-nvidia-web-drivers-be-released-for-macos-mojave-10-14/65895 |date=April 3, 2021 }}. Nvidia asking the company to update users when they would release web drivers for its cards installed on legacy Mac Pro machines up to mid-2012 5,1 running the macOS Mojave operating system 10.14. Web drivers are required to enable graphics acceleration and multiple display monitor capabilities of the GPU. On its Mojave update info website, Apple stated that macOS Mojave would run on legacy machines with 'Metal compatible' graphics cards[https://www.apple.com/macos/how-to-upgrade/#hardware-requirements Upgrade to macOS Mojave.] {{Webarchive|url=https://web.archive.org/web/20160927013442/https://www.apple.com/macos/how-to-upgrade/#hardware-requirements |date=September 27, 2016 }} Apple Computer and listed Metal compatible GPUs, including some manufactured by Nvidia.[https://support.apple.com/en-gb/HT208898#cards Install macOS 10.14 Mojave on Mac Pro (mid 2010) and Mac Pro (mid 2012)] {{Webarchive|url=https://web.archive.org/web/20201130124240/https://support.apple.com/en-gb/HT208898#cards |date=November 30, 2020 }}. Apple Computer However, this list did not include Metal compatible cards that currently work in macOS High Sierra using Nvidia-developed web drivers. In September, Nvidia responded, "Apple fully controls drivers for macOS. But if Apple allows, our engineers are ready and eager to help Apple deliver great drivers for macOS 10.14 (Mojave)."September 28, 2018. [https://devtalk.nvidia.com/default/topic/1042279/cuda-setup-and-installation/cuda-10-and-macos-10-14/post/5286813/#5286813 CUDA 10 and macOS 10.14] {{Webarchive|url=https://web.archive.org/web/20210123121922/https://forums.developer.nvidia.com/t/cuda-10-and-macos-10-14/65672#5286813 |date=January 23, 2021 }}. Nvidia In October, Nvidia followed this up with another public announcement, "Apple fully controls drivers for macOS. Unfortunately, Nvidia currently cannot release a driver unless it is approved by Apple,"October 18, 2018. [https://devtalk.nvidia.com/default/topic/1043070/announcements/faq-about-macos-10-14-mojave-nvidia-drivers/ FAQ about MacOS 10.14 (Mojave) NVIDIA drivers] {{Webarchive|url=https://web.archive.org/web/20200304172221/https://devtalk.nvidia.com/default/topic/1043070/announcements/faq-about-macos-10-14-mojave-nvidia-drivers/ |date=March 4, 2020 }} suggesting a possible rift between the two companies.Florian Maislinger. January 22, 2019. [https://www.pcbuildersclub.com/en/2019/01/apple-and-nvidia-are-said-to-have-a-silent-hostility/ 'Apple and Nvidia are said to have a silent hostility'] {{Webarchive|url=https://web.archive.org/web/20200929141524/https://www.pcbuildersclub.com/en/2019/01/apple-and-nvidia-are-said-to-have-a-silent-hostility/ |date=September 29, 2020 }}. PC Builders Club. By January 2019, with still no sign of the enabling web drivers, Apple Insider weighed into the controversy with a claim that Apple management "doesn't want Nvidia support in macOS".William Gallagher and Mike Wuerthele. January 18, 2019. [https://appleinsider.com/articles/19/01/18/apples-management-doesnt-want-nvidia-support-in-macos-and-thats-a-bad-sign-for-the-mac-pro 'Apple's management doesn't want Nvidia support in macOS, and that's a bad sign for the Mac Pro'] {{Webarchive|url=https://web.archive.org/web/20201112042648/https://appleinsider.com/articles/19/01/18/apples-management-doesnt-want-nvidia-support-in-macos-and-thats-a-bad-sign-for-the-mac-pro/ |date=November 12, 2020 }} The following month, Apple Insider followed this up with another claim that Nvidia support was abandoned because of "relational issues in the past",Vadim Yuryev. February 14, 2019. [https://appleinsider.com/articles/19/02/14/video-nvidia-support-was-abandoned-in-macos-mojave-and-heres-why Video: Nvidia support was abandoned in macOS Mojave, and here's why] {{Webarchive|url=https://web.archive.org/web/20210114154649/https://appleinsider.com/articles/19/02/14/video-nvidia-support-was-abandoned-in-macos-mojave-and-heres-why |date=January 14, 2021 }}. Apple Insider and that Apple was developing its own GPU technology.Daniel Eran Dilger. April 4, 2017. [https://appleinsider.com/articles/17/04/04/why-apples-new-gpu-efforts-are-a-major-disruptive-threat-to-nvidia 'Why Apple's new GPU efforts are a major disruptive threat to Nvidia'] {{Webarchive|url=https://web.archive.org/web/20201127092202/https://appleinsider.com/articles/17/04/04/why-apples-new-gpu-efforts-are-a-major-disruptive-threat-to-nvidia |date=November 27, 2020 }}. Apple Insider Without Apple-approved Nvidia web drivers, Apple users are faced with replacing their Nvidia cards with a competing supported brand, such as AMD Radeon from the list recommended by Apple.[https://support.apple.com/en-us/HT208898 'Install macOS 10.14 Mojave on Mac Pro (mid 2010) and Mac Pro (mid 2012)'] {{Webarchive|url=https://web.archive.org/web/20201112022658/https://support.apple.com/en-us/HT208898 |date=November 12, 2020 }} Apple Inc.

{{See also|Mellanox Technologies}}File:Nvidia Yokneam Office.jpg) in Yokneam Illit, Israel, March 2023]]

On March 11, 2019, Nvidia announced a deal to buy Mellanox Technologies for $6.9 billion{{Cite web |date=March 11, 2019 |title=Nvidia to acquire Mellanox Technologies for about $7 billion in cash |url=https://www.cnbc.com/2019/03/11/nvidia-to-acquire-mellanox-technologies-for-about-7-billion-in-cash.html |access-date=March 11, 2019 |website=www.cnbc.com |archive-date=November 8, 2020 |archive-url=https://web.archive.org/web/20201108031917/https://www.cnbc.com/2019/03/11/nvidia-to-acquire-mellanox-technologies-for-about-7-billion-in-cash.html |url-status=live}} to substantially expand its footprint in the high-performance computing market. In May 2019, Nvidia announced new RTX Studio laptops. The creators say that the new laptop is going to be seven times faster than a top-end MacBook Pro with a Core i9 and AMD's Radeon Pro Vega 20 graphics in apps like Maya and RedCine-X Pro.{{Cite web |last=Byford |first=Sam |date=May 27, 2019 |title=Nvidia announces RTX Studio laptops aimed at creators |url=https://www.theverge.com/2019/5/27/18641152/nvidia-rtx-studio-laptops-creators-software-computex-2019 |access-date=May 27, 2019 |website=The Verge |archive-date=January 16, 2021 |archive-url=https://web.archive.org/web/20210116225311/https://www.theverge.com/2019/5/27/18641152/nvidia-rtx-studio-laptops-creators-software-computex-2019/ |url-status=live}} In August 2019, Nvidia announced Minecraft RTX, an official Nvidia-developed patch for the game Minecraft adding real-time DXR ray tracing exclusively to the Windows 10 version of the game. The whole game is, in Nvidia's words, "refit" with path tracing, which dramatically affects the way light, reflections, and shadows work inside the engine.{{Cite web |title=Minecraft with RTX: The World's Best Selling Videogame Is Adding Ray Tracing |url=https://www.nvidia.com/en-us/geforce/news/minecraft-rtx-trailer-screenshots-partnership/ |access-date=April 25, 2020 |website=www.nvidia.com |language=en-us |archive-date=December 13, 2020 |archive-url=https://web.archive.org/web/20201213140636/https://www.nvidia.com/en-us/geforce/news/minecraft-rtx-trailer-screenshots-partnership/ |url-status=live}}

In May 2020, Nvidia announced it was acquiring Cumulus Networks.{{cite web |url=https://techcrunch.com/2020/05/04/nvidia-acquires-cumulus-networks/ |title=Nvidia acquires Cumulus Networks |website=Techcrunch |date=May 4, 2020 |accessdate=December 10, 2020|archive-date=December 2, 2023|archive-url=https://web.archive.org/web/20231202232648/https://techcrunch.com/2020/05/04/nvidia-acquires-cumulus-networks/|url-status=live}} Post acquisition the company was absorbed into Nvidia's networking business unit, along with Mellanox.

In May 2020, Nvidia's developed an open-source ventilator to address the shortage resulting from the global coronavirus pandemic.{{Cite web |title=NVIDIA's top scientist develops open-source ventilator that can be built with $400 in readily-available parts |url=https://techcrunch.com/2020/05/01/nvidias-top-scientist-develops-open-source-ventilator-that-can-be-built-with-400-in-readily-available-parts/ |access-date=May 1, 2020 |website=TechCrunch |date=May 2020 |language=en-US |archive-date=April 3, 2021 |archive-url=https://web.archive.org/web/20210403000745/https://techcrunch.com/2020/05/01/nvidias-top-scientist-develops-open-source-ventilator-that-can-be-built-with-400-in-readily-available-parts/ |url-status=live}} On May 14, 2020, Nvidia officially announced their Ampere GPU microarchitecture and the Nvidia A100 GPU accelerator.{{Cite web |url=https://nvidianews.nvidia.com/news/nvidias-new-ampere-data-center-gpu-in-full-production |title=NVIDIA's New Ampere Data Center GPU in Full Production |website=NVIDIA Newsroom|access-date=March 3, 2024|archive-date=March 17, 2024|archive-url=https://web.archive.org/web/20240317085025/https://nvidianews.nvidia.com/news/nvidias-new-ampere-data-center-gpu-in-full-production|url-status=live}}{{Cite web |url=https://www.nvidia.com/en-us/data-center/a100/ |title=NVIDIA A100 GPUs Power the Modern Data Center |website=NVIDIA|access-date=May 15, 2020|archive-date=January 16, 2021|archive-url=https://web.archive.org/web/20210116101004/https://www.nvidia.com/en-us/data-center/a100/|url-status=live}} In July 2020, it was reported that Nvidia was in talks with SoftBank to buy Arm, a UK-based chip designer, for $32 billion.{{Cite news |last1=Massoudi |first1=Arash |last2=Bradshaw |first2=Tim |last3=Fontanella-Khan |first3=James |date=July 31, 2020 |title=Nvidia in talks to buy Arm from SoftBank for more than $32bn |work=Financial Times |url=https://www.ft.com/content/4ed67726-1a56-4ce2-9d62-a5ec2a8f35b5 |archive-url=https://ghostarchive.org/archive/20221210/https://www.ft.com/content/4ed67726-1a56-4ce2-9d62-a5ec2a8f35b5 |archive-date=December 10, 2022 |url-access=subscription |access-date=July 3, 2020}}

On September 1, 2020, Nvidia officially announced the GeForce 30 series based on the company's new Ampere microarchitecture.{{cite press release |url=https://nvidianews.nvidia.com/news/nvidia-delivers-greatest-ever-generational-leap-in-performance-with-geforce-rtx-30-series-gpus |title=NVIDIA Delivers Greatest-Ever Generational Leap with GeForce RTX 30 Series GPUs |publisher=NVIDIA |date=September 1, 2020 |access-date=August 5, 2021 |archive-date=March 7, 2023 |archive-url=https://web.archive.org/web/20230307043052/https://nvidianews.nvidia.com/news/nvidia-delivers-greatest-ever-generational-leap-in-performance-with-geforce-rtx-30-series-gpus |url-status=live}}{{cite web |url=https://www.nvidia.com/en-us/geforce/news/introducing-rtx-30-series-graphics-cards/ |title=GeForce RTX 30 Series Graphics Cards: The Ultimate Play |publisher=NVIDIA |date=September 1, 2020 |access-date=August 5, 2021 |archive-date=January 19, 2021 |archive-url=https://web.archive.org/web/20210119111623/https://www.nvidia.com/en-us/geforce/news/introducing-rtx-30-series-graphics-cards/ |url-status=live}}

On September 13, 2020, Nvidia announced that they would buy Arm from SoftBank Group for $40 billion, subject to the usual scrutiny, with the latter retaining a 10% share of Nvidia.{{Cite web |last=Moorhead |first=Patrick |title=It's Official- NVIDIA Acquires Arm For $40B To Create What Could Be A Computing Juggernaut |url=https://www.forbes.com/sites/patrickmoorhead/2020/09/13/its-officialnvidia-acquires-arm-for-40b-to-create-what-could-be-a-computing-juggernaut/ |access-date=September 14, 2020 |website=Forbes |language=en |archive-date=February 3, 2021 |archive-url=https://web.archive.org/web/20210203191926/https://www.forbes.com/sites/patrickmoorhead/2020/09/13/its-officialnvidia-acquires-arm-for-40b-to-create-what-could-be-a-computing-juggernaut/ |url-status=live}}{{Cite news |last=Rosoff |first=Matt |date=September 13, 2020 |title=Nvidia to buy Arm Holdings from SoftBank for $40 billion |work=CNBC |url=https://www.cnbc.com/2020/09/14/nvidia-to-buy-arm-holdings-from-softbank-for-40-billion.html |access-date=September 13, 2020 |archive-date=January 16, 2021 |archive-url=https://web.archive.org/web/20210116110046/https://www.cnbc.com/2020/09/14/nvidia-to-buy-arm-holdings-from-softbank-for-40-billion.html |url-status=live}}{{Cite news |last1=Arash Massoudi |last2=Robert Smith |last3=James Fontanella-Khan |date=September 12, 2020 |title=SoftBank set to sell UK's Arm Holdings to Nvidia for $40bn |work=Financial Times |url=https://www.ft.com/content/6bfe40a5-2426-4743-98cd-6fed9dd01b98 |archive-url=https://ghostarchive.org/archive/20221210/https://www.ft.com/content/6bfe40a5-2426-4743-98cd-6fed9dd01b98 |archive-date=December 10, 2022 |url-access=subscription |access-date=September 12, 2020}}{{cite press release |url=https://nvidianews.nvidia.com/news/nvidia-to-acquire-arm-for-40-billion-creating-worlds-premier-computing-company-for-the-age-of-ai |title=NVIDIA to Acquire Arm for $40 Billion, Creating World's Premier Computing Company for the Age of AI |date=September 13, 2020 |access-date=November 21, 2020 |website=NVIDIA |language=en |archive-date=September 14, 2020 |archive-url=https://web.archive.org/web/20200914001340/https://nvidianews.nvidia.com/news/nvidia-to-acquire-arm-for-40-billion-creating-worlds-premier-computing-company-for-the-age-of-ai |url-status=live}}

File:Neuer Testbericht der RTX 2080 (Ti) (极客湾Geekerwan) 15.png, which is the first generation of Nvidia RTX]]

In October 2020, Nvidia announced its plan to build the most powerful computer in Cambridge, England. The computer, called Cambridge-1, launched in July 2021 with a $100 million investment and will employ AI to support healthcare research.{{cite web |title=NVIDIA Launches UK's Most Powerful Supercomputer, for Research in AI and Healthcare |url=https://nvidianews.nvidia.com/news/nvidia-launches-uks-most-powerful-supercomputer-for-research-in-ai-and-healthcare |website=nvidia.com |access-date=December 20, 2023 |archive-date=December 20, 2023 |archive-url=https://web.archive.org/web/20231220145313/https://nvidianews.nvidia.com/news/nvidia-launches-uks-most-powerful-supercomputer-for-research-in-ai-and-healthcare |url-status=live}}{{cite news |last1=Grover |first1=Natalie |title=UK supercomputer Cambridge-1 to hunt for medical breakthroughs |url=https://www.theguardian.com/technology/2021/jul/07/uk-supercomputer-cambridge-1-to-hunt-for-medical-breakthroughs |website=The Guardian |date=July 6, 2021 |access-date=December 20, 2023 |archive-date=December 20, 2023 |archive-url=https://web.archive.org/web/20231220145311/https://www.theguardian.com/technology/2021/jul/07/uk-supercomputer-cambridge-1-to-hunt-for-medical-breakthroughs |url-status=live}} According to Jensen Huang, "The Cambridge-1 supercomputer will serve as a hub of innovation for the UK, and further the groundbreaking work being done by the nation's researchers in critical healthcare and drug discovery."{{Cite news |last=Sam Shead |date=October 5, 2020 |title=Nvidia pledges to build Britain's largest supercomputer following $40 billion bid for Arm |work=CNBC |url=https://www.cnbc.com/2020/10/05/nvidia-pledges-to-build-britains-largest-supercomputer.html |access-date=October 5, 2020 |archive-date=January 17, 2021 |archive-url=https://web.archive.org/web/20210117113400/https://www.cnbc.com/2020/10/05/nvidia-pledges-to-build-britains-largest-supercomputer.html |url-status=live}}

Also in October 2020, along with the release of the Nvidia RTX A6000, Nvidia announced it is retiring its workstation GPU brand Quadro, shifting its product name to Nvidia RTX for future products and the manufacturing to be Nvidia Ampere architecture-based.

In August 2021, the proposed takeover of Arm was stalled after the UK's Competition and Markets Authority raised "significant competition concerns".{{Cite web |last=Browne |first=Ryan |date=August 20, 2021 |title=Nvidia's $40 billion Arm takeover warrants an in-depth competition probe, UK regulator says |url=https://www.cnbc.com/2021/08/20/nvidia-arm-deal-warrants-in-depth-competition-probe-uk-regulator-says.html|access-date=August 20, 2021 |website=CNBC |language=en|archive-date=August 20, 2021|archive-url=https://web.archive.org/web/20210820152448/https://www.cnbc.com/2021/08/20/nvidia-arm-deal-warrants-in-depth-competition-probe-uk-regulator-says.html|url-status=live}} In October 2021, the European Commission opened a competition investigation into the takeover. The Commission stated that Nvidia's acquisition could restrict competitors' access to Arm's products and provide Nvidia with too much internal information on its competitors due to their deals with Arm. SoftBank (the parent company of Arm) and Nvidia announced in early February 2022 that they "had agreed not to move forward with the transaction 'because of significant regulatory challenges{{'"}}.{{cite web |url=https://www.wsj.com/articles/nvidia-softbank-call-off-blockbuster-arm-deal-11644297283 |title=Nvidia, SoftBank Call Off Blockbuster Arm Deal |date=February 8, 2022 |first=Robert |last=Wall |publisher=The Wall Street Journal |access-date=February 8, 2022 |archive-date=February 8, 2022 |archive-url=https://web.archive.org/web/20220208212810/https://www.wsj.com/articles/nvidia-softbank-call-off-blockbuster-arm-deal-11644297283 |url-status=live}} The investigation was set to end on March 15, 2022.{{Cite web |last1=Porter |first1=Jon |last2=Clark |first2=Mitchell |date=October 27, 2021 |title=EU opens formal investigation into Nvidia's Arm acquisition |url=https://www.theverge.com/2021/10/27/22266504/nvidia-arm-deal-eu-formal-investigation-merger |access-date=October 28, 2021 |website=The Verge |language=en |archive-date=October 28, 2021 |archive-url=https://web.archive.org/web/20211028130151/https://www.theverge.com/2021/10/27/22266504/nvidia-arm-deal-eu-formal-investigation-merger |url-status=live}}{{Cite news |last=Chee |first=Foo Yun |date=October 27, 2021 |title=Setback for Nvidia's $54 bln ARM bid as EU regulators open probe |url=https://www.reuters.com/technology/setback-nvidias-54-bln-arm-bid-eu-regulators-open-probe-2021-10-27/ |access-date=October 28, 2021 |website=Reuters |language=en |archive-date=October 28, 2021 |archive-url=https://web.archive.org/web/20211028130151/https://www.reuters.com/technology/setback-nvidias-54-bln-arm-bid-eu-regulators-open-probe-2021-10-27/ |url-status=live}} That same month, Nvidia was reportedly compromised by a cyberattack.{{Cite news |last=Titcomb |first=James |date=February 25, 2022 |title=US microchip powerhouse Nvidia hit by cyber attack |language=en-GB |work=The Telegraph |url=https://www.telegraph.co.uk/business/2022/02/25/us-microchip-powerhouse-nvidia-hit-cyber-attack/ |access-date=February 25, 2022 |issn=0307-1235 |archive-date=February 25, 2022 |archive-url=https://web.archive.org/web/20220225191134/https://www.telegraph.co.uk/business/2022/02/25/us-microchip-powerhouse-nvidia-hit-cyber-attack/ |url-status=live}}

In March 2022, Nvidia's CEO Jensen Huang mentioned that they were open to having Intel manufacture their chips in the future.{{Cite news |date=February 24, 2022 |title=Nvidia Considering Intel as a Foundry to Manufacture its GPUs |language=en-GB |url=https://gamingindustry247.com/nvidia-considering-intel-as-a-foundry-to-manufacture-its-gpus/ |access-date=February 24, 2022 |archive-date=August 9, 2022 |archive-url=https://web.archive.org/web/20220809132902/https://gamingindustry247.com/nvidia-considering-intel-as-a-foundry-to-manufacture-its-gpus/ |url-status=live}} This was the first time the company mentioned that they would work together with Intel's upcoming foundry services.

In April 2022, it was reported that Nvidia planned to open a new research center in Yerevan, Armenia.{{cite news |title=Tech Giant NVIDIA to Open Research Center in Armenia |url=https://asbarez.com/tech-giant-nvidia-to-open-research-center-in-armenia/ |work=Asbarez |date=April 7, 2022 |access-date=April 7, 2022 |archive-date=April 7, 2022 |archive-url=https://web.archive.org/web/20220407233902/https://asbarez.com/tech-giant-nvidia-to-open-research-center-in-armenia/ |url-status=live}}

In May 2022, Nvidia opened Voyager, the second of the two giant buildings at its new headquarters complex to the west of the old one. Unlike its smaller and older sibling Endeavor, the triangle theming is used more "sparingly" in Voyager.{{cite news |last1=Shankland |first1=Stephen |title=Behold Nvidia's Giant New Voyager Building |url=https://www.cnet.com/pictures/behold-nvidias-giant-new-voyager-building/ |access-date=February 24, 2024 |work=CNET |date=May 5, 2022 |archive-date=February 24, 2024 |archive-url=https://web.archive.org/web/20240224162056/https://www.cnet.com/pictures/behold-nvidias-giant-new-voyager-building/ |url-status=live}}{{cite news |last1=Thompson |first1=Polly |title=See inside Nvidia's giant 'Voyager' HQ — a futuristic office where work meets nature |url=https://www.businessinsider.com/nvidia-chipmaker-ai-boom-tech-office-california-2023-11 |access-date=February 24, 2024 |work=Business Insider |date=November 19, 2023 |archive-date=March 3, 2024 |archive-url=https://web.archive.org/web/20240303033422/https://www.businessinsider.com/nvidia-chipmaker-ai-boom-tech-office-california-2023-11 |url-status=live}}

In September 2022, Nvidia announced its next-generation automotive-grade chip, Drive Thor.{{cite web |last=Holt |first=Kris |date=September 20, 2022 |title=NVIDIA reveals its next-gen chipset for autonomous vehicles |url=https://www.engadget.com/nvidia-autonomous-vehicle-chipset-drive-thor-164538911.html |website=Engadget |access-date=November 8, 2022 |archive-date=November 8, 2022 |archive-url=https://web.archive.org/web/20221108035725/https://www.engadget.com/nvidia-autonomous-vehicle-chipset-drive-thor-164538911.html |url-status=live}}{{Cite press release |last=CORPORATION |first=NVIDIA |date=September 20, 2022 |title=NVIDIA Unveils DRIVE Thor — Centralized Car Computer Unifying Cluster, Infotainment, Automated Driving, and Parking in a Single, Cost-Saving System |url=https://www.globenewswire.com/news-release/2022/09/20/2519504/0/en/NVIDIA-Unveils-DRIVE-Thor-Centralized-Car-Computer-Unifying-Cluster-Infotainment-Automated-Driving-and-Parking-in-a-Single-Cost-Saving-System.html |access-date=September 20, 2022 |website=GlobeNewswire News Room |language=en |archive-date=September 20, 2022 |archive-url=https://web.archive.org/web/20220920174224/https://www.globenewswire.com/news-release/2022/09/20/2519504/0/en/NVIDIA-Unveils-DRIVE-Thor-Centralized-Car-Computer-Unifying-Cluster-Infotainment-Automated-Driving-and-Parking-in-a-Single-Cost-Saving-System.html |url-status=live}}

In September 2022, Nvidia announced a collaboration with the Broad Institute of MIT and Harvard related to the entire suite of Nvidia's AI-powered healthcare software suite called Clara, that includes Parabricks and MONAI.{{Cite web |title=The Broad Institute and NVIDIA Bring NVIDIA Clara to Terra Cloud Platform Serving 25,000 Researchers Advancing Biomedical Discovery |url=http://nvidianews.nvidia.com/news/the-broad-institute-and-nvidia-bring-nvidia-clara-to-terra-cloud-platform-serving-25-000-researchers-advancing-biomedical-discovery |access-date=2024-07-11 |website=NVIDIA Newsroom |language=en-us}}

Following U.S. Department of Commerce regulations which placed an embargo on exports to China of advanced microchips, which went into effect in October 2022, Nvidia saw its data center chip added to the export control list. The next month, the company unveiled a new advanced chip in China, called the A800 GPU, that met the export control rules.{{cite news |last=Lee |first=Jane Lanhee |date=November 7, 2022 |title=Exclusive: Nvidia offers new advanced chip for China that meets U.S. export controls |url=https://www.reuters.com/technology/exclusive-nvidia-offers-new-advanced-chip-china-that-meets-us-export-controls-2022-11-08/ |work=Reuters |access-date=November 8, 2022 |archive-date=November 8, 2022 |archive-url=https://web.archive.org/web/20221108035434/https://www.reuters.com/technology/exclusive-nvidia-offers-new-advanced-chip-china-that-meets-us-export-controls-2022-11-08/ |url-status=live}}

In September 2023, Getty Images announced that it was partnering with Nvidia to launch Generative AI by Getty Images, a new tool that lets people create images using Getty's library of licensed photos. Getty will use Nvidia's Edify model, which is available on Nvidia's generative AI model library Picasso.{{cite news |url=https://www.theverge.com/2023/9/25/23884679/getty-ai-generative-image-platform-launch |author=Emilia David |date=September 25, 2023 |title=Getty made an AI generator that only trained on its licensed images |work=Verge|access-date=September 26, 2023|archive-date=September 26, 2023|archive-url=https://web.archive.org/web/20230926213950/https://www.theverge.com/2023/9/25/23884679/getty-ai-generative-image-platform-launch|url-status=live}}

On September 26, 2023, Denny's CEO Kelli Valade joined Huang in East San Jose to celebrate the founding of Nvidia at Denny's on Berryessa Road, where a plaque was installed to mark the relevant corner booth as the birthplace of a $1 trillion company.{{cite news |last1=Takahashi |first1=Dean |title=Jensen Huang returns to Denny's where trillion-dollar company began |url=https://venturebeat.com/games/jensen-huang-returns-to-dennys-where-trillion-dollar-company-began/ |access-date=September 28, 2023 |work=VentureBeat |date=September 26, 2023 |archive-date=September 28, 2023 |archive-url=https://web.archive.org/web/20230928033322/https://venturebeat.com/games/jensen-huang-returns-to-dennys-where-trillion-dollar-company-began/ |url-status=live}} By then, Nvidia's H100 GPUs were in such demand that even other tech giants were beholden to how Nvidia allocated supply. Larry Ellison of Oracle Corporation said that month that during a dinner with Huang at Nobu in Palo Alto, he and Elon Musk of Tesla, Inc. and xAI "were begging" for H100s, "I guess is the best way to describe it. An hour of sushi and begging".{{Cite news |last=Fitch |first=Asa |date=February 26, 2024 |title=Nvidia's Stunning Ascent Has Also Made It a Giant Target |url=https://www.wsj.com/tech/ai/nvidia-ceo-jensen-huang-vision-company-f05db212 |access-date=February 27, 2024 |work=The Wall Street Journal |language=en-US |url-access=subscription |archive-date=February 27, 2024 |archive-url=https://web.archive.org/web/20240227063751/https://www.wsj.com/tech/ai/nvidia-ceo-jensen-huang-vision-company-f05db212 |url-status=live}}

In October 2023, it was reported that Nvidia had quietly begun designing ARM-based central processing units (CPUs) for Microsoft's Windows operating system with a target to start selling them in 2025.{{Cite news |last1=Nellis |first1=Stephen |last2=Cherney |first2=Max A. |date=October 24, 2023 |title=Exclusive: Nvidia to make Arm-based PC chips in major new challenge to Intel |language=en |work=Reuters |url=https://www.reuters.com/technology/nvidia-make-arm-based-pc-chips-major-new-challenge-intel-2023-10-23/ |access-date=October 24, 2023 |archive-date=October 24, 2023 |archive-url=https://web.archive.org/web/20231024130802/https://www.reuters.com/technology/nvidia-make-arm-based-PC-chips-major-new-challenge-intel-2023-10-23/ |url-status=live}}

In January 2024, Forbes reported that Nvidia has increased its lobbying presence in Washington, D.C. as American lawmakers consider proposals to regulate artificial intelligence. From 2023 to 2024, the company reportedly hired at least four government affairs with professional backgrounds at agencies including the United States Department of State and the Department of the Treasury. It was noted that the $350,000 spent by the company on lobbying in 2023 was small compared to a number of major tech companies in the artificial intelligence space.{{Cite web |last=Nieva |first=Richard |date=January 11, 2024 |title=Nvidia Is Quietly Ramping Up For A Delicate Dance In Washington |url=https://www.forbes.com/sites/richardnieva/2024/01/11/nvidia-is-quietly-ramping-up-for-a-delicate-dance-in-washington/ |access-date=May 12, 2024 |website=Forbes |language=en}}

In January 2024, Raymond James Financial analysts estimated that Nvidia was selling the H100 GPU in the price range of $25,000 to $30,000 each, while on eBay, individual H100s cost over $40,000.{{cite news |last1=Vanian |first1=Jonathan |title=Mark Zuckerberg indicates Meta is spending billions of dollars on Nvidia AI chips |url=https://www.cnbc.com/2024/01/18/mark-zuckerberg-indicates-meta-is-spending-billions-on-nvidia-ai-chips.html |access-date=June 6, 2024 |work=CNBC |date=January 18, 2024}} Several major technology companies were purchasing tens or hundreds of thousands of GPUs for their data centers to run generative artificial intelligence projects; simple arithmetic implied that they were committing to billions of dollars in capital expenditures.

In February 2024, it was reported that Nvidia was the "hot employer" in Silicon Valley because it was offering interesting work and good pay at a time when other tech employers were downsizing. Half of Nvidia employees earned over $228,000 in 2023.{{cite news |last1=Bindley |first1=Katherine |last2=Ellis |first2=Lindsay |last3=Bousquette |first3=Isabelle |title=Booming Stock and Sky-High Pay: Nvidia Is Silicon Valley's Hot Employer |url=https://www.wsj.com/lifestyle/careers/booming-stock-and-sky-high-pay-nvidia-is-silicon-valleys-hot-employer-e4fb6c20 |access-date=February 27, 2024 |work=The Wall Street Journal |date=February 26, 2024 |url-access=subscription |archive-date=February 27, 2024 |archive-url=https://web.archive.org/web/20240227001206/https://www.wsj.com/lifestyle/careers/booming-stock-and-sky-high-pay-nvidia-is-silicon-valleys-hot-employer-e4fb6c20 |url-status=live}} By then, Nvidia GPUs had become so valuable that they needed special security while in transit to data centers. Cisco chief information officer Fletcher Previn explained at a CIO summit: "Those GPUs arrive by armored car".{{cite news |last1=Bousquette |first1=Isabelle |last2=Lin |first2=Belle |title=Armored Cars and Trillion Dollar Price Tags: How Some Tech Leaders Want to Solve the Chip Shortage |url=https://www.wsj.com/articles/armored-cars-and-trillion-dollar-price-tags-how-some-tech-leaders-want-to-solve-the-chip-shortage-d7c75039 |access-date=May 30, 2024 |work=The Wall Street Journal |date=February 14, 2024 |url-access=subscription}}

On March 1, 2024, Nvidia became the third company in the history of the United States to close with a market capitalization in excess of $2 trillion. Nvidia needed only 180 days to get to $2 trillion from $1 trillion, while the first two companies, Apple and Microsoft, each took over 500 days. On March 18, Nvidia announced its new AI chip and microarchitecture Blackwell, named after mathematician David Blackwell.{{cite news |last1=Weiss |first1=Geoff |title=Nvidia's CEO unveils the next AI chip that tech companies will be scrambling for — meet 'Blackwell' |url=https://www.businessinsider.com/nvidia-ceo-jensen-huang-unveils-next-generation-ai-chip-blackwell-2024-3 |access-date=March 19, 2024 |work=Business Insider |date=March 19, 2024 |archive-date=March 19, 2024 |archive-url=https://web.archive.org/web/20240319001932/https://www.businessinsider.com/nvidia-ceo-jensen-huang-unveils-next-generation-ai-chip-blackwell-2024-3 |url-status=live}}

In April 2024, Reuters reported that China had allegedly acquired banned Nvidia chips and servers from Supermicro and Dell via tenders.{{cite news |last=Baptista |first=Eduardo |date=April 23, 2024 |title=China acquired recently banned Nvidia chips in Super Micro, Dell servers, tenders show |url=https://www.reuters.com/world/china/china-acquired-recently-banned-nvidia-chips-super-micro-dell-servers-tenders-2024-04-23/ |url-status=live |archive-url=https://web.archive.org/web/20240424220448/https://www.reuters.com/world/china/china-acquired-recently-banned-nvidia-chips-super-micro-dell-servers-tenders-2024-04-23/ |archive-date=April 24, 2024 |access-date=April 23, 2024 |work=Reuters |ref=none}}

File:PNY Nvidia Quadro P1000.jpg

In June 2024, the Federal Trade Commission (FTC) and the Justice Department (DOJ) began antitrust investigations into Nvidia, Microsoft and OpenAI, focusing on their influence in the AI industry. The FTC led the investigations into Microsoft and OpenAI, while the DOJ handled Nvidia. The probes centered on the companies' conduct rather than mergers. This development followed an open letter from OpenAI employees expressing concerns about the rapid AI advancements and lack of oversight.{{cite news |title=U.S. regulators to open antitrust probes into Nvidia, Microsoft and OpenAI |date=June 6, 2024 |url=https://www.cnbc.com/2024/06/06/us-regulators-to-open-antitrust-probes-into-nvidia-microsoft-and-openai.html |archive-url=https://web.archive.org/web/20240609033901/https://www.cnbc.com/2024/06/06/us-regulators-to-open-antitrust-probes-into-nvidia-microsoft-and-openai.html |archive-date=June 9, 2024 |access-date=June 9, 2024}}

The company became the world's most valuable, surpassing Microsoft and Apple, on June 18, 2024, after its market capitalization exceeded $3.3 trillion.{{cite news |last1=Patnaik |first1=Subrat |last2=Reinicke |first2=Carmen |title=Nvidia Becomes World's Most Valuable Company as AI Rally Steams Ahead |url=https://www.bloomberg.com/news/articles/2024-06-18/nvidia-becomes-world-s-largest-firm-as-ai-rally-steams-ahead?srnd=homepage-americas&sref=CIpmV6x8 |access-date=June 18, 2024 |work=Bloomberg |date=June 18, 2024}}{{cite news |last1=Prakash |first1=Prarthana |title=Nvidia single-handedly surpasses Europe's biggest stock markets as London Stock Exchange chief promises reform to refresh U.K.'s 'ambition' |url=https://fortune.com/europe/2024/06/21/nvidia-surpasses-europes-biggest-stock-markets-london-stock-exchange-reform-u-k-ambition/ |work=Fortune |date=June 21, 2024 |url-access=subscription}}

In June 2024, Trend Micro announced a partnership with Nvidia to develop AI-driven security tools, notably to protect the data centers where AI workloads are processed. This collaboration integrates Nvidia NIM and Nvidia Morpheus with Trend Vision One and its Sovereign and Private Cloud solutions to improve data privacy, real-time analysis, and rapid threat mitigation.{{Cite web |last=McCann |first=Kristian |date=2024-06-03 |title=How Nvidia's AI Chips will Power Trend Micro's Cybersecurity |url=https://aimagazine.com/articles/how-nvidias-ai-chips-will-power-trend-micros-cybersecurity |access-date=2024-09-19 |website=AI magazine |language=en}}

Nvidia introduced in October 2024 a family of open-source multimodal large language models called NVLM 1.0, which features a flagship version with 72 billion parameters, designed to improve text-only performance after multimodal training.{{Cite web |last=Nunez |first=Michael |date=October 1, 2024 |title=Nvidia just dropped a bombshell: Its new AI model is open, massive, and ready to rival GPT-4 |url=https://venturebeat.com/ai/nvidia-just-dropped-a-bombshell-its-new-ai-model-is-open-massive-and-ready-to-rival-gpt-4/ |website=VentureBeat}}{{Cite web |last=Basu |first=Swati |date=October 2, 2024 |title=Nvidia unveils its new NVLM 1.0 AI model, rivaling the likes of OpenAI's GPT-4 |url=https://readwrite.com/nvidia-unveils-nvlm-1-0-ai-model/ |website=ReadWrite}}

In November 2024, the company was added to the Dow Jones Industrial Average.{{cite web |url=https://www.reuters.com/technology/nvidia-replace-intel-dow-jones-industrial-average-2024-11-01 |title=Nvidia to take Intel's spot on Dow Jones Industrial Average |first=Arsheeya |last=Bajwa |website=Reuters |date=November 1, 2024 |access-date=November 3, 2024}}{{cite web |url=https://www.cnbc.com/2024/11/01/nvidia-to-join-dow-jones-industrial-average-replacing-intel.html |title=Nvidia to join Dow Jones Industrial Average, replacing rival chipmaker Intel |work=CNBC |last=Leswing |first=Kif |date=November 1, 2024 |access-date=November 3, 2024}}

In November 2024, Morgan Stanley reported that "the entire 2025 production" of all of Nvidia's Blackwell chips was "already sold out".{{cite news |last1=Kahn |first1=Jeremy |title=60 direct reports, but no 1-on-1 meetings: How an unconventional leadership style helped Jensen Huang of Nvidia become one of the most powerful people in business |url=https://fortune.com/2024/11/12/jensen-huang-nvidia-ceo-leadership-mpp/ |access-date=November 16, 2024 |work=Fortune |date=November 12, 2024 |url-access=subscription}}

Also in November 2024, the company bought 1.2 million shares of Nebius Group.{{Cite news | url=https://www.reuters.com/technology/nvidia-cuts-stake-arm-holdings-invests-chinas-weride-2025-02-14/ | title=Nvidia cuts stake in Arm Holdings, discloses position in China's WeRide | first=Jaspreet | last=Singh | work=Reuters | date=February 15, 2025}}

Nvidia was ranked #3 on Forbes' "Best Places to Work" list in 2024.{{cite web |title=Fortune 100 Best Companies to Work For |url=https://fortune.com/ranking/best-companies/2024/ |website=Fortune |language=en|archive-url=https://web.archive.org/web/20250119102931/https://fortune.com/ranking/best-companies/2024/|archive-date=19 January 2025|url-status=live}}

In January 2025, Nvidia saw the largest one-day loss in market capitalization for a U.S. company in history at $600 billion. This was due to DeepSeek, a Chinese AI startup that developed an advanced AI model at a lower cost and computing power.{{Cite web |last=Allen |first=Gregory C. |date=March 7, 2025 |title=DeepSeek, Huawei, Export Controls, and the Future of the U.S.-China AI Race |url=https://www.csis.org/analysis/deepseek-huawei-export-controls-and-future-us-china-ai-race |website=Center for Strategic and International Studies}} DeepSeek's AI assistant, using the V3 model, surpassed ChatGPT as the highest-rated free app in the U.S. on Apple's App Store.{{cite news|last=Subin|first=Samantha|date=January 27, 2025|title=Nvidia sheds almost $600 billion in market cap, biggest one-day loss in U.S. history|publisher=CNBC|url=https://www.cnbc.com/2025/01/27/nvidia-sheds-almost-600-billion-in-market-cap-biggest-drop-ever.html|access-date=January 28, 2025}}{{Cite web |last=Saul |first=Derek |title=Biggest Market Loss In History: Nvidia Stock Sheds Nearly $600 Billion As DeepSeek Shakes AI Darling |url=https://www.forbes.com/sites/dereksaul/2025/01/27/biggest-market-loss-in-history-nvidia-stock-sheds-nearly-600-billion-as-deepseek-shakes-ai-darling/ |access-date=2025-01-28 |website=Forbes |language=en}}

On 7 April 2025, Nvidia released the Llama-3.1-Nemotron-Ultra-253B-v1 reasoning large language model, under the Nvidia Open Model License. It comes in three sizes: Nano, Super and Ultra.{{Cite web |last=Franzen |first=Carl |date=2025-04-08 |title=Nvidia's new Llama-3.1 Nemotron Ultra outperforms DeepSeek R1 at half the size |url=https://venturebeat.com/ai/nvidias-new-llama-3-1-nemotron-ultra-outperforms-deepseek-r1-at-half-the-size/ |access-date=2025-04-13 |website=VentureBeat |language=en-US}}

On 28 May 2025, Nvidia's second-quarter revenue forecast fell short of market estimates due to U.S. export restrictions impacting AI chip sales to China, yet the company's stock rose 5% as investors remained optimistic about long-term AI demand.{{cite news |last1=Bajwa |first1=Arsheeya |last2=Nellis |first2=Stephen |title=Nvidia shares rise as sales hit from China export curbs not as bad as feared |url=https://www.reuters.com/business/nvidia-forecasts-second-quarter-revenue-below-estimates-2025-05-28/ |work=Reuters |date=2025-05-28 |access-date=2025-05-29}}

Nvidia uses external suppliers for all phases of manufacturing, including wafer fabrication, assembly, testing, and packaging. Nvidia thus avoids most of the investment and production costs and risks associated with chip manufacturing, although it does sometimes directly procure some components and materials used in the production of its products (e.g., memory and substrates). Nvidia focuses its own resources on product design, quality assurance, marketing, and customer support.{{cite web |page=8 |title=2023 NVIDIA Corporation Annual Review |publisher=Nvidia |url=https://s201.q4cdn.com/141608511/files/doc_financials/2023/ar/2023-Annual-Report-1.pdf |archive-url=https://web.archive.org/web/20240302063445/https://s201.q4cdn.com/141608511/files/doc_financials/2023/ar/2023-Annual-Report-1.pdf |archive-date=March 2, 2024 }}{{Cite web |url=https://research-methodology.net/nvidia-value-chain-analysis/ |title=Nvidia Value Chain Analysis |date=June 22, 2023 |website=Research-Methodology|access-date=March 3, 2024|archive-date=March 3, 2024|archive-url=https://web.archive.org/web/20240303170230/https://research-methodology.net/nvidia-value-chain-analysis/|url-status=live}}

Nvidia's key management as of March 2024 consists of:{{Cite web |title=NVIDIA Corporation – Governance – Management Team |url=https://investor.nvidia.com/governance/management-team/default.aspx |access-date=March 7, 2024 |website=investor.nvidia.com |archive-date=December 3, 2023 |archive-url=https://web.archive.org/web/20231203235243/https://investor.nvidia.com/governance/management-team/default.aspx |url-status=live}}

• Jensen Huang, founder, president and chief executive officer
• Chris Malachowsky, founder and Nvidia fellow
• Colette Kress, executive vice president and chief financial officer
• Jay Puri, executive vice president of worldwide field operations
• Debora Shoquist, executive vice president of operations
• Tim Teter, executive vice president, general counsel and secretary

{{As of |2024|11}}, the company's board consisted of the following directors:{{Cite web |title=NVIDIA Corporation – Governance – Board of Directors |url=https://investor.nvidia.com/governance/board-of-directors/default.aspx |access-date=March 7, 2024 |website=investor.nvidia.com |archive-date=December 4, 2023 |archive-url=https://web.archive.org/web/20231204005016/https://investor.nvidia.com/governance/board-of-directors/default.aspx |url-status=live}}

• Rob Burgess (former chief executive officer of Macromedia Inc.)
• Tench Coxe (former managing director of Sutter Hill Ventures)
• John Dabiri (engineer and professor at the California Institute of Technology)
• Persis Drell (physicist and professor at Stanford University)
• Jensen Huang (co-founder, CEO and president of Nvidia)
• Dawn Hudson (former Chief Marketing Officer of the National Football League)
• Harvey C. Jones (managing partner of Square Wave Ventures)
• Melissa B. Lora (former president of Taco Bell International)
• Stephen Neal (lead independent director of Nvidia, former CEO and Chairman Emeritus and Senior Counsel of Cooley LLP)
• Ellen Ochoa (former director of NASA Johnson Space Center)
• Brooke Seawell (venture partner at New Enterprise Associates)
• Aarti Shah (former Senior Vice President & Chief Information and Digital Officer at Eli Lilly and Company)
• Mark Stevens (managing Partner at S-Cubed Capital)

File:NVIDIA Stock Price.webp

For the fiscal year 2020, Nvidia reported earnings of US$2.796 billion, with an annual revenue of US$10.918 billion, a decline of 6.8% over the previous fiscal cycle. Nvidia's shares traded at over $531 per share, and its market capitalization was valued at over US$328.7 billion in January 2021. As of late Q3 2024, Nvidia's market cap is around US$2.98 trillion.{{cite web | url=https://www.google.com/finance/quote/NVDA | title=Google Finance - Stock Market Prices, Real-time Quotes & Business News }}{{Cite web |title=NVIDIA Corporation – Financial Info – Annual Reports and Proxies |url=https://investor.nvidia.com/financial-info/annual-reports-and-proxies/default.aspx |access-date=November 18, 2018 |website=investor.nvidia.com |language=en-US |archive-date=January 14, 2021 |archive-url=https://web.archive.org/web/20210114133504/https://investor.nvidia.com/financial-info/annual-reports-and-proxies/default.aspx |url-status=live}}

For the Q2 of 2020, Nvidia reported sales of $3.87 billion, which was a 50% rise from the same period in 2019. The surge in sales and people's higher demand for computer technology. According to the financial chief of the company, Colette Kress, the effects of the pandemic will "likely reflect this evolution in enterprise workforce trends with a greater focus on technologies, such as Nvidia laptops and virtual workstations, that enable remote work and virtual collaboration."{{Cite news |last=Armental |first=Maria |date=August 19, 2020 |title=Nvidia Posts Record Sales as Pandemic Sustains Demand for Gaming, Data-Center Chips |work=The Wall Street Journal |url=https://www.wsj.com/articles/nvidia-posts-record-sales-as-pandemic-sustains-demand-for-gaming-data-center-chips-11597871110?mod=business_lead_pos13 |access-date=August 20, 2020 |archive-date=August 20, 2020 |archive-url=https://web.archive.org/web/20200820183702/https://www.wsj.com/articles/nvidia-posts-record-sales-as-pandemic-sustains-demand-for-gaming-data-center-chips-11597871110?mod=business_lead_pos13 |url-status=live}} In May 2023, Nvidia crossed $1 trillion in market valuation during trading hours,{{cite news |last=Goswami |first=Rohan |date=May 30, 2023 |title=Nvidia crosses into $1 trillion market cap before giving back gains |publisher=CNBC |url=https://www.cnbc.com/2023/05/30/nvidia-on-track-to-hit-1-trillion-market-cap-when-market-opens.html|access-date=May 30, 2023|archive-date=May 30, 2023|archive-url=https://web.archive.org/web/20230530130905/https://www.cnbc.com/2023/05/30/nvidia-on-track-to-hit-1-trillion-market-cap-when-market-opens.html|url-status=live}} and grew to $1.2 trillion by the following November.{{cite news |last=Levy |first=Ari |date=November 20, 2023 |title=Nvidia stock closes at all-time high, a day before earnings |publisher=CNBC |url=https://www.cnbc.com/2023/11/20/nvidia-earnings-report-to-give-investors-peek-into-ai-demand-for-2024.html|access-date=November 20, 2023|archive-date=November 20, 2023|archive-url=https://web.archive.org/web/20231120211443/https://www.cnbc.com/2023/11/20/nvidia-earnings-report-to-give-investors-peek-into-ai-demand-for-2024.html|url-status=live}} For its strength, size and market capitalization, Nvidia has been selected to be one of Bloomberg's "Magnificent Seven", the seven biggest companies on the stock market in these regards.

The 10 largest shareholders of Nvidia in early 2024 were:{{Cite web |title=NVIDIA Corporation: Shareholders Board Members Managers and Company Profile {{!}} US67066G1040 {{!}} MarketScreener |url=https://www.marketscreener.com/quote/stock/NVIDIA-CORPORATION-57355629/company/ |access-date=March 7, 2024 |website=www.marketscreener.com |language=en |archive-date=July 3, 2023 |archive-url=https://web.archive.org/web/20230703081612/https://www.marketscreener.com/quote/stock/NVIDIA-CORPORATION-57355629/company/ |url-status=live }}

• The Vanguard Group (8.280%)
• BlackRock (5.623%)
• Fidelity Investments (5.161%)
• State Street Corporation (3.711%)
• Jensen Huang (3.507%)
• Geode Capital Management (2.024%)
• T. Rowe Price (2.013%)
• JPMorgan Chase (1.417%)
• BlackRock Life (1.409%)
• Eaton Vance (1.337%)

{{Main|Nvidia GTC}}

Nvidia's GPU Technology Conference (GTC) is a series of technical conferences held around the world.{{Cite web |title=GPU Technology Conference |url=https://www.nvidia.com/en-us/gtc/ |access-date=September 7, 2021 |website=GPU Technology Conference |language=en-us |archive-date=January 19, 2021 |archive-url=https://web.archive.org/web/20210119132122/https://www.nvidia.com/en-us/gtc/ |url-status=live}} It originated in 2009 in San Jose, California, with an initial focus on the potential for solving computing challenges through GPUs.{{Cite web |title=Company History {{!}} NVIDIA |url=https://www.nvidia.com/en-us/about-nvidia/corporate-timeline/ |access-date=September 7, 2021 |website=www.nvidia.com |language=en-us |archive-date=March 9, 2024 |archive-url=https://web.archive.org/web/20240309012821/https://www.nvidia.com/en-us/about-nvidia/corporate-timeline/ |url-status=live }} In recent years, the conference's focus has shifted to various applications of artificial intelligence and deep learning; including self-driving cars, healthcare, high-performance computing, and Nvidia Deep Learning Institute (DLI) training.{{Cite web |title=Deep Learning and GPU-Programming Workshops at GTC 2021 |url=https://www.nvidia.com/en-us/gtc/training/ |access-date=September 7, 2021 |website=NVIDIA |language=en-us |archive-date=August 27, 2021 |archive-url=https://web.archive.org/web/20210827135127/https://www.nvidia.com/en-us/gtc/training/ |url-status=live}} GTC 2018 attracted over 8400 attendees. GTC 2020 was converted to a digital event and drew roughly 59,000 registrants.{{Cite web |title=Deep Learning and GPU-Programming Workshops at GTC 2018 |url=https://blogs.nvidia.com/blog/2020/03/02/gtc-san-jose-online-event/ |access-date=March 2, 2020 |website=NVIDIA |date=March 2, 2020 |language=en-us |archive-date=January 19, 2021 |archive-url=https://web.archive.org/web/20210119092200/https://blogs.nvidia.com/blog/2020/03/02/gtc-san-jose-online-event/ |url-status=live}} After several years of remote-only events, GTC in March 2024 returned to an in-person format in San Jose, California.{{Cite web |last=Caulfield |first=Brian |date=March 18, 2024 |title='We Created a Processor for the Generative AI Era,' NVIDIA CEO Says |url=https://blogs.nvidia.com/blog/2024-gtc-keynote/ |access-date=March 30, 2024 |website=NVIDIA Blog |language=en-US |archive-date=March 29, 2024 |archive-url=https://web.archive.org/web/20240329173311/https://blogs.nvidia.com/blog/2024-gtc-keynote/ |url-status=live}}

File:NVIDIA Shield Tablet with Wireless Controller (16131034479).jpg with its accompanying input pen (left) and gamepad]]

Nvidia's product families include graphics processing units, wireless communication devices, and automotive hardware and software, such as:

• GeForce, consumer-oriented graphics processing products
• RTX, professional visual computing graphics processing products (replacing GTX and Quadro)
• NVS, a multi-display business graphics processor
• Tegra, a system on a chip series for mobile devices
• Tesla, line of dedicated general-purpose GPUs for high-end image generation applications in professional and scientific fields
• nForce, a motherboard chipset created by Nvidia for Intel (Celeron, Pentium and Core 2) and AMD (Athlon and Duron) microprocessors
• GRID, a set of hardware and services by Nvidia for graphics virtualization
• Shield, a range of gaming hardware including the Shield Portable, Shield Tablet and Shield TV
• Drive, a range of hardware and software products for designers and manufacturers of autonomous vehicles. The Drive PX-series is a high-performance computer platform aimed at autonomous driving through deep learning,{{Cite web |title=Nvidia automotive solutions |url=https://www.nvidia.com/object/drive-automotive-technology.html |access-date=March 29, 2016 |publisher=Nvidia |archive-date=October 4, 2017 |archive-url=https://web.archive.org/web/20171004130646/http://www.nvidia.com/object/drive-automotive-technology.html |url-status=live}} while Driveworks is an operating system for driverless cars.{{Cite web |date=September 29, 2016 |title=Nvidia unveils driverless car OS and partnership with TomTom |url=https://eandt.theiet.org/content/articles/2016/09/nvidia-unveils-driverless-car-os-and-partnership-with-tomtom/ |access-date=October 20, 2016 |archive-date=September 18, 2018 |archive-url=https://web.archive.org/web/20180918231227/https://eandt.theiet.org/content/articles/2016/09/nvidia-unveils-driverless-car-os-and-partnership-with-tomtom/ |url-status=live}}
• BlueField, a range of data processing units, initially inherited from their acquisition of Mellanox Technologies{{Cite web |title=NVIDIA BlueField Data Processing Units |url=https://www.nvidia.com/en-us/networking/products/data-processing-unit/|access-date=May 29, 2021 |website=NVIDIA |language=en-us|archive-date=May 30, 2021|archive-url=https://web.archive.org/web/20210530225732/https://www.nvidia.com/en-us/networking/products/data-processing-unit/|url-status=live}}{{Cite web |last=Deierling |first=Kevin |date=May 21, 2020 |title=What Is a DPU? {{!}} NVIDIA Blog|url=https://blogs.nvidia.com/blog/2020/05/20/whats-a-dpu-data-processing-unit/|access-date=May 29, 2021|website=The Official NVIDIA Blog|language=en-US|archive-date=September 15, 2022|archive-url=https://web.archive.org/web/20220915084730/https://blogs.nvidia.com/blog/2020/05/20/whats-a-dpu-data-processing-unit/|url-status=live}}
• Datacenter/server class CPU, codenamed Grace, released in 2023{{cite press release |url=https://nvidianews.nvidia.com/news/nvidia-announces-cpu-for-giant-ai-and-high-performance-computing-workloads |title=NVIDIA Announces CPU for Giant AI and High Performance Computing Workloads |publisher=NVIDIA |date=April 12, 2021 |access-date=August 5, 2021 |archive-date=August 5, 2021 |archive-url=https://web.archive.org/web/20210805172118/https://nvidianews.nvidia.com/news/nvidia-announces-cpu-for-giant-ai-and-high-performance-computing-workloads |url-status=live}}{{cite web |url=https://www.nvidia.com/en-us/data-center/grace-cpu/ |title=NVIDIA Grace CPU |publisher=NVIDIA |access-date=August 5, 2021 |archive-date=August 5, 2021 |archive-url=https://web.archive.org/web/20210805172713/https://www.nvidia.com/en-us/data-center/grace-cpu/ |url-status=live}}
• DGX, an enterprise platform designed for deep learning applications
• Maxine, a platform providing developers a suite of AI-based conferencing software{{Cite web |last=Wiggers |first=Kyle |date=2020-10-09 |title=AI Weekly: Nvidia's Maxine opens the door to deepfakes and bias in video calls |url=https://venturebeat.com/ai/ai-weekly-nvidias-maxine-opens-the-door-to-deepfakes-and-bias-in-video-calls/ |access-date=2024-07-02 |website=VentureBeat |language=en-US}}

{{See also|Free and open-source graphics device driver|Mesa 3D|OpenPOWER Foundation}}

Until September 23, 2013, Nvidia had not published any documentation for its advanced hardware,{{Cite web |date=September 23, 2013 |title=Nvidia Offers to Release Public Documentation on Certain Aspects of Their GPUs |url=http://lists.freedesktop.org/archives/nouveau/2013-September/014480.html |access-date=September 24, 2013 |archive-date=November 12, 2020 |archive-url=https://web.archive.org/web/20201112013329/https://lists.freedesktop.org/archives/nouveau/2013-September/014480.html |url-status=live}} meaning that programmers could not write free and open-source device driver for its products without resorting to reverse engineering.

Instead, Nvidia provides its own binary GeForce graphics drivers for X.Org and an open-source library that interfaces with the Linux, FreeBSD or Solaris kernels and the proprietary graphics software. Nvidia also provided but stopped supporting an obfuscated open-source driver that only supports two-dimensional hardware acceleration and ships with the X.Org distribution.{{Cite web |title=nv |url=http://www.x.org/wiki/nv |access-date=August 6, 2015 |archive-date=November 12, 2020 |archive-url=https://web.archive.org/web/20201112021514/https://www.x.org/wiki/nv/ |url-status=live}}

The proprietary nature of Nvidia's drivers has generated dissatisfaction within free-software communities. In a 2012 talk, Linus Torvalds, in criticism of Nvidia's approach towards Linux, raised his middle finger and stated "Nvidia, fuck you."{{Cite web |last=Paul |first=Ryan |date=June 19, 2012 |title=Linus Torvalds says "f--k you" to NVIDIA |url=https://arstechnica.com/information-technology/2012/06/linus-torvalds-says-f-k-you-to-nvidia/ |access-date=March 2, 2024 |website=Ars Technica |language=en-us |archive-date=February 15, 2018 |archive-url=https://web.archive.org/web/20180215023959/https://arstechnica.com/information-technology/2012/06/linus-torvalds-says-f-k-you-to-nvidia/ |url-status=live}}{{Cite web |date=June 17, 2012 |title=Linus Torvalds: 'fuck you, Nvidia' for not supporting Linux |url=https://www.theverge.com/2012/6/17/3092829/linus-torvalds-fuck-you-nvidia |access-date=July 9, 2013 |website=The Verge |archive-date=December 4, 2020 |archive-url=https://web.archive.org/web/20201204164428/https://www.theverge.com/2012/6/17/3092829/linus-torvalds-fuck-you-nvidia |url-status=live}} Some Linux and BSD users insist on using only open-source drivers and regard Nvidia's insistence on providing nothing more than a binary-only driver as inadequate, given that competing manufacturers such as Intel offer support and documentation for open-source developers and that others (like AMD) release partial documentation and provide some active development.{{Cite web |date=August 14, 2006 |title=X.org, distributors, and proprietary modules |url=https://lwn.net/Articles/195351/ |access-date=November 3, 2008 |first=Jonathon |last=Corbet |website=LWN.net |archive-date=September 21, 2019 |archive-url=https://web.archive.org/web/20190921165358/https://lwn.net/Articles/195351/ |url-status=live}}[https://web.archive.org/web/20110113115606/http://www.ubuntugamer.com/2011/01/ubuntu-graphics-driver-overview/ An overview of graphic card manufacturers and how well they work with Ubuntu] Ubuntu Gamer, January 10, 2011 (Article by Luke Benstead)

Nvidia only provides x86/x64 and ARMv7-A versions of their proprietary driver; as a result, features like CUDA are unavailable on other platforms.{{Cite web |title=Unix Drivers |url=https://www.nvidia.com/object/unix.html |access-date=August 6, 2015 |archive-date=December 17, 2020 |archive-url=https://web.archive.org/web/20201217085947/https://www.nvidia.com/object/unix.html |url-status=live}} Some users claim that Nvidia's Linux drivers impose artificial restrictions, like limiting the number of monitors that can be used at the same time, but the company has not commented on these accusations.{{Cite web |last=Kevin Parrish |title=Nvidia Removed Linux Driver Feature Due to Windows |url=http://www.tomshardware.com/news/nvidia-linux-basemosaic-ubuntu-parity,24519.html |access-date=August 6, 2015 |website=Tom's Hardware |date=October 3, 2013 |archive-date=May 21, 2023 |archive-url=https://web.archive.org/web/20230521115822/https://www.tomshardware.com/news/nvidia-linux-basemosaic-ubuntu-parity,24519.html |url-status=live}}

In 2014, with Maxwell GPUs, Nvidia started to require firmware by them to unlock all features of its graphics cards.[https://hardware.slashdot.org/story/14/09/27/1254219/nvidia-begins-requiring-signed-gpu-firmware-images NVIDIA Begins Requiring Signed GPU Firmware Images] {{Webarchive|url=https://web.archive.org/web/20201111151021/https://hardware.slashdot.org/story/14/09/27/1254219/nvidia-begins-requiring-signed-gpu-firmware-images |date=November 11, 2020 }}, slashdot, September 27, 2014.[https://www.phoronix.com/scan.php?page=news_item&px=Linux-Firmware-Turing-C-Firm Linux-Firmware Adds Signed NVIDIA Firmware Binaries For Turing's Type-C Controller] {{Webarchive|url=https://web.archive.org/web/20210107030340/https://www.phoronix.com/scan.php?page=news_item |date=January 7, 2021 }}, phoronix, February 13, 2019.[https://www.phoronix.com/scan.php?page=news_item&px=Nouveau-Just-Fixes-Linux-5.3 The Open-Source NVIDIA "Nouveau" Driver Gets A Batch Of Fixes For Linux 5.3] {{Webarchive|url=https://web.archive.org/web/20210107030340/https://www.phoronix.com/scan.php?page=news_item |date=January 7, 2021 }}, phoronix, July 19, 2019.

On May 12, 2022, Nvidia announced that they are opensourcing their GPU kernel modules.{{cite web |url=https://developer.nvidia.com/blog/nvidia-releases-open-source-gpu-kernel-modules/ |title=NVIDIA Releases Open-Source GPU Kernel Modules |date=May 11, 2022 | access-date=May 12, 2022 | archive-date=May 12, 2022 | archive-url=https://web.archive.org/web/20220512172814/https://developer.nvidia.com/blog/nvidia-releases-open-source-gpu-kernel-modules/ | url-status=live}}{{cite web |url=https://www.phoronix.com/scan.php?page=article&item=nvidia-open-kernel&num=1 |title=NVIDIA Transitioning to Official, Open-Source Linux GPU Kernel Driver | access-date=May 12, 2022 | archive-date=May 12, 2022 | archive-url=https://web.archive.org/web/20220512173050/https://www.phoronix.com/scan.php?page=article&item=nvidia-open-kernel&num=1 | url-status=live}}{{cite web |url=https://github.com/NVIDIA/open-gpu-kernel-modules |title=NVIDIA Linux Open GPU Kernel Module Source |website=GitHub |date=May 17, 2022 | access-date=May 12, 2022 | archive-date=May 12, 2022 | archive-url=https://web.archive.org/web/20220512172722/https://github.com/NVIDIA/open-gpu-kernel-modules | url-status=live}} Support for Nvidia's firmware was implemented in nouveau in 2023, which allows proper power management and GPU reclocking for Turing and newer graphics card generations.{{Cite web |title=Nouveau NVIDIA GSP Firmware Support Merged For Linux 6.7 |url=https://www.phoronix.com/news/Nouveau-GSP-Merged-Linux-6.7 |access-date=March 2, 2024 |website=Phoronix |language=en |archive-date=March 2, 2024 |archive-url=https://web.archive.org/web/20240302012216/https://www.phoronix.com/news/Nouveau-GSP-Merged-Linux-6.7 |url-status=live}}{{Cite web |title=A Nouveau graphics driver update |first=Jonathon |last=Corbet |url=https://lwn.net/Articles/953144/ |access-date=March 2, 2024 |website=LWN.net |archive-date=March 2, 2024 |archive-url=https://web.archive.org/web/20240302012216/https://lwn.net/Articles/953144/ |url-status=live}}

• Nouveau
• NVDLA
• PhysX
• VDPAU
• Vibrante
• GR00Thttps://www.hackster.io/news/nvidia-isaac-groot-n1-is-an-open-source-foundation-model-for-accelerated-humanoid-robot-development-effa04c90231{{Bare URL inline|date=May 2025}}

Nvidia GPUs are used in deep learning, and accelerated analytics due to Nvidia's CUDA software platform and API which allows programmers to utilize the higher number of cores present in GPUs to parallelize BLAS operations which are extensively used in machine learning algorithms. They were included in many Tesla, Inc. vehicles before Musk announced at Tesla Autonomy Day in 2019 that the company developed its own SoC and full self-driving computer now and would stop using Nvidia hardware for their vehicles.{{Cite web |date=August 13, 2020 |title=Nvidia's Self-Driving Vehicle Approach — from Tesla to DHL to Mercedes |url=https://cleantechnica.com/2020/08/13/nvidias-self-driving-vehicle-approach-from-tesla-to-dhl-to-mercedes/ |access-date=October 28, 2020 |website=CleanTechnica |language=en-US |archive-date=January 17, 2021 |archive-url=https://web.archive.org/web/20210117215917/https://cleantechnica.com/2020/08/13/nvidias-self-driving-vehicle-approach-from-tesla-to-dhl-to-mercedes/ |url-status=live}}{{Cite web |title=Google Cloud adds NVIDIA Tesla K80 GPU support to boost deep learning performance |work=TechRepublic |date=February 22, 2017 |url=http://www.techrepublic.com/article/google-cloud-adds-nvidia-tesla-k80-gpu-support-to-boost-deep-learning-performance/ |access-date=April 19, 2017 |archive-date=June 10, 2019 |archive-url=https://web.archive.org/web/20190610173053/https://www.techrepublic.com/article/google-cloud-adds-nvidia-tesla-k80-gpu-support-to-boost-deep-learning-performance/ |url-status=live}} These GPUs are used by researchers, laboratories, tech companies and enterprise companies.{{Cite web |title=Intel, Nvidia Trade Shots Over AI, Deep Learning |date=August 25, 2016 |url=http://www.eweek.com/servers/intel-nvidia-trade-shots-over-ai-deep-learning.html|access-date=April 19, 2017|archive-date=May 21, 2023|archive-url=https://web.archive.org/web/20230521130755/https://www.eweek.com/servers/intel-nvidia-trade-shots-over-ai-deep-learning/|url-status=live}} In 2009, Nvidia was involved in what was called the "big bang" of deep learning, "as deep-learning neural networks were combined with Nvidia graphics processing units (GPUs)".{{Cite web |date=April 5, 2016 |title=Nvidia CEO bets big on deep learning and VR |url=https://venturebeat.com/2016/04/05/nvidia-ceo-bets-big-on-deep-learning-and-vr/ |access-date=April 19, 2017 |archive-date=November 25, 2020 |archive-url=https://web.archive.org/web/20201125202428/https://venturebeat.com/2016/04/05/nvidia-ceo-bets-big-on-deep-learning-and-vr/ |url-status=live}} That year, the Google Brain team used Nvidia GPUs to create deep neural networks capable of machine learning, where Andrew Ng determined that GPUs could increase the speed of deep learning systems by about 100 times.{{Cite news |title=From not working to neural networking |newspaper=The Economist |date=June 23, 2016 |url=https://www.economist.com/news/special-report/21700756-artificial-intelligence-boom-based-old-idea-modern-twist-not|access-date=September 7, 2017|archive-date=December 31, 2016|archive-url=https://web.archive.org/web/20161231203934/https://www.economist.com/news/special-report/21700756-artificial-intelligence-boom-based-old-idea-modern-twist-not|url-status=live}}

{{Main|Nvidia DGX}}

DGX is a line of supercomputers by Nvidia.

In April 2016, Nvidia produced the DGX-1 based on an 8 GPU cluster, to improve the ability of users to use deep learning by combining GPUs with integrated deep learning software.{{Cite web |last=Coldewey |first=Devin |title=NVIDIA announces a supercomputer aimed at deep learning and AI |date=April 5, 2016 |url=https://techcrunch.com/2016/04/05/nvidia-announces-a-supercomputer-aimed-at-deep-learning-and-ai/ |access-date=September 7, 2017 |archive-date=November 29, 2020 |archive-url=https://web.archive.org/web/20201129054127/https://techcrunch.com/2016/04/05/nvidia-announces-a-supercomputer-aimed-at-deep-learning-and-ai/ |url-status=live}} Nvidia gifted its first DGX-1 to OpenAI in August 2016 to help it train larger and more complex AI models with the capability of reducing processing time from six days to two hours.{{Cite news |last1=Carr |first1=Austin |last2=King |first2=Ian |date=June 15, 2023 |title=How Nvidia Became ChatGPT's Brain and Joined the $1 Trillion Club |url=https://www.bloomberg.com/news/features/2023-06-15/nvidia-s-ai-chips-power-chatgpt-and-multibillion-dollar-surge |publisher=Bloomberg News |url-access=subscription |archive-url=https://archive.today/20230618072913/https://www.bloomberg.com/news/features/2023-06-15/nvidia-s-ai-chips-power-chatgpt-and-multibillion-dollar-surge |archive-date=June 18, 2023 |url-status=live}}{{Cite news |last=Vanian |first=Jonathan |date=August 15, 2016 |title=Elon Musk's Artificial Intelligence Project Just Got a Free Supercomputer |url=https://fortune.com/2016/08/15/elon-musk-artificial-intelligence-openai-nvidia-supercomputer/ |work=Fortune |url-access=subscription |archive-url=https://archive.today/20230607233501/https://fortune.com/2016/08/15/elon-musk-artificial-intelligence-openai-nvidia-supercomputer/ |archive-date=June 7, 2023 |url-status=live}} It also developed Nvidia Tesla K80 and P100 GPU-based virtual machines, which are available through Google Cloud, which Google installed in November 2016.{{Cite web |last=Nichols |first=Shaun |date=February 21, 2017 |title=Google rents out Nvidia Tesla GPUs in its cloud. If you ask nicely, that'll be 70 cents an hour, bud |url=https://www.theregister.co.uk/2017/02/21/google_says_cloud_gpu_boxes_are_go/ |website=The Register |access-date=April 19, 2017 |archive-date=July 9, 2019 |archive-url=https://web.archive.org/web/20190709170955/https://www.theregister.co.uk/2017/02/21/google_says_cloud_gpu_boxes_are_go/ |url-status=live}} Microsoft added GPU servers in a preview offering of its N series based on Nvidia's Tesla K80s, each containing 4992 processing cores. Later that year, AWS's P2 instance was produced using up to 16 Nvidia Tesla K80 GPUs. That month Nvidia also partnered with IBM to create a software kit that boosts the AI capabilities of Watson,{{Cite web |title=IBM, NVIDIA partner for 'fastest deep learning enterprise solution' in the world |work=TechRepublic |date=November 14, 2016 |url=http://www.techrepublic.com/article/ibm-nvidia-partner-for-fastest-deep-learning-enterprise-solution-in-the-world/ |access-date=April 19, 2017 |archive-date=October 12, 2020 |archive-url=https://web.archive.org/web/20201012034603/https://www.techrepublic.com/article/ibm-nvidia-partner-for-fastest-deep-learning-enterprise-solution-in-the-world/ |url-status=live}} called IBM PowerAI.{{Cite web |date=November 14, 2016 |title=IBM and Nvidia team up to create deep learning hardware |url=https://venturebeat.com/2016/11/14/ibm-and-nvidia-team-up-to-create-deep-learning-hardware/ |access-date=April 19, 2017 |archive-date=October 12, 2020 |archive-url=https://web.archive.org/web/20201012090856/https://venturebeat.com/2016/11/14/ibm-and-nvidia-team-up-to-create-deep-learning-hardware/ |url-status=live}}{{Cite web |date=November 15, 2016 |title=IBM and Nvidia make deep learning easy for AI service creators with a new bundle |url=http://www.digitaltrends.com/computing/ibm-nvidia-hardware-software-bundle-deep-learning-ai/ |access-date=April 19, 2017 |archive-date=October 24, 2020 |archive-url=https://web.archive.org/web/20201024185627/https://www.digitaltrends.com/computing/ibm-nvidia-hardware-software-bundle-deep-learning-ai/ |url-status=live}} Nvidia also offers its own Nvidia Deep Learning software development kit.{{Cite web |title=Facebook 'Big Basin' AI Compute Platform Adopts NVIDIA Tesla P100 For Next Gen Data Centers |url=http://hothardware.com/news/facebook-big-basin-ai-platform-adopts-nvidia-tesla-p100-data-centers |access-date=April 19, 2017 |archive-date=November 26, 2020 |archive-url=https://web.archive.org/web/20201126093601/https://hothardware.com/news/facebook-big-basin-ai-platform-adopts-nvidia-tesla-p100-data-centers |url-status=dead}} In 2017, the GPUs were also brought online at the Riken Center for Advanced Intelligence Project for Fujitsu.{{Cite web |date=March 5, 2017 |title=Nvidia to Power Fujitsu's New Deep Learning System at RIKEN – insideHPC |url=http://insidehpc.com/2017/03/nvidia-power-fujitsus-new-deep-learning-system-riken/ |access-date=April 19, 2017 |archive-date=October 24, 2020 |archive-url=https://web.archive.org/web/20201024004640/https://insidehpc.com/2017/03/nvidia-power-fujitsus-new-deep-learning-system-riken/ |url-status=live}} The company's deep learning technology led to a boost in its 2017 earnings.{{Cite web |last=Tilley |first=Aaron |date=February 9, 2017 |title=Nvidia Beats Earnings Estimates As Its Artificial Intelligence Business Keeps On Booming |url=https://www.forbes.com/sites/aarontilley/2017/02/09/nvidia-beat-earnings-estimates-as-its-artificial-intelligence-business-keeps-on-booming/ |access-date=January 27, 2021 |website=Forbes |language=en |archive-date=April 19, 2017 |archive-url=https://web.archive.org/web/20170419202205/https://www.forbes.com/sites/aarontilley/2017/02/09/nvidia-beat-earnings-estimates-as-its-artificial-intelligence-business-keeps-on-booming/ |url-status=live}}

In May 2018, researchers at the artificial intelligence department of Nvidia realized the possibility that a robot can learn to perform a job simply by observing the person doing the same job. They have created a system that, after a short revision and testing, can already be used to control the universal robots of the next generation. In addition to GPU manufacturing, Nvidia provides parallel processing capabilities to researchers and scientists that allow them to efficiently run high-performance applications.[https://newatlas.com/robot-learn-watching-humans/54732/ "Robot see, robot do: Nvidia system lets robots learn by watching humans"] {{Webarchive|url=https://web.archive.org/web/20201109004513/https://newatlas.com/robot-learn-watching-humans/54732/ |date=November 9, 2020 }} New Atlas, May 23, 2018

In 2020, Nvidia unveiled "Omniverse", a virtual environment designed for engineers.{{Cite web |last=Takahashi |first=Dean |date=October 5, 2020 |title=Nvidia announces open beta for Omniverse as a 'metaverse' for engineers |url=https://venturebeat.com/ai/nvidia-announces-open-beta-for-omniverse-as-a-metaverse-for-engineers/ |access-date=June 19, 2024 |website=VentureBeat |language=en-US}} Nvidia also open-sourced Isaac Sim, which makes use of this Omniverse to train robots through simulations that mimic the physics of the robots and the real world.{{Cite web |last=Takahashi |first=Dean |date=January 3, 2023 |title=Nvidia advances robot simulation with updates to Isaac Sim |url=https://venturebeat.com/ai/nvidia-advances-robot-simulation-with-updates-to-isaac-sim/ |access-date=June 19, 2024 |website=VentureBeat |language=en-US}}{{Cite web |title=NVIDIA Isaac Sim |url=https://github.com/isaac-sim |access-date=June 19, 2024 |website=GitHub |language=en}}

In 2024, Huang oriented Nvidia's focus towards humanoid robots and self-driving cars, which he expects to gain widespread adoption.{{Cite web |last=Morris |first=Meghan |date=June 3, 2024 |title=Nvidia CEO Jensen Huang says robots are the next wave of AI — and 2 kinds will dominate |url=https://www.businessinsider.com/nvidia-ceo-jensen-huang-pushes-robot-revolution-taiwan-computex-speech-2024-6 |access-date= |website=Business Insider |language=en-US}}{{Cite web |last=Coleman |first=Julie |date=March 20, 2024 |title=Nvidia CEO Jensen Huang explains why he's all in on humanoid robotics |url=https://www.cnbc.com/2024/03/20/nvidia-ceo-jensen-huang-explains-why-hes-all-in-on-humanoid-robotics.html |access-date=June 19, 2024 |website=CNBC |language=en}}

In 2025, Nvidia announced Isaac GR00T N1, an open-source foundation model "designed to expedite the development and capabilities of humanoid robots". Neura Robotics, 1X Technologies and Vention are among the first companies to use the model.{{Cite web |last=Liszewski |first=Andrew |date=2025-03-18 |title=Nvidia says 'the age of generalist robotics is here' |url=https://www.theverge.com/news/631743/nvidia-issac-groot-n1-robotics-foundation-model-available |access-date=2025-04-07 |website=The Verge}}{{Cite web |last=Moore |first=Mike |date=2025-03-18 |title='The age of generalist robotics is here' - Nvidia's latest GROOT AI model just took us another step closer to fully humanoid robots |url=https://www.techradar.com/pro/the-age-of-generalist-robotics-is-here-nvidias-latest-groot-ai-model-just-took-us-another-step-closer-to-fully-humanoid-robots |access-date=2025-04-07 |website=TechRadar}}{{cite magazine |title=How Nvidia's Simulation Tech is Used for Advanced Robotics Training |magazine=Automation World |date=January 8, 2025 |url=https://www.automationworld.com/factory/robotics/news/55253285/how-nvidias-simulation-tech-is-used-for-advanced-robotics-training}}

Nvidia's Inception Program was created to support startups making exceptional advances in the fields of artificial intelligence and data science. Award winners are announced at Nvidia's GTC Conference. In May 2017, the program had 1,300 companies.{{Cite news |date=May 10, 2017 |title=Six Startups Split $1.5 Million in Cash in AI startup competition. |url=https://blogs.nvidia.com/blog/2017/05/10/these-six-ai-startups-just-snagged-a-share-of-1-5-million-in-cash-prizes/ |url-status=dead |archive-url=https://web.archive.org/web/20220521102741/https://blogs.nvidia.com/blog/2017/05/10/these-six-ai-startups-just-snagged-a-share-of-1-5-million-in-cash-prizes/ |archive-date=May 21, 2022 |access-date=March 28, 2018 |work=The Official NVIDIA Blog |language=en-US}} As of March 2018, there were 2,800 startups in the Inception Program.{{Cite web |last=Dean Takahashi |date=March 28, 2018 |title=Nvidia's Inception AI contest awards $1 million to 3 top startups |url=https://venturebeat.com/2018/03/27/nvidias-inception-ai-contest-awards-1-million-to-3-top-startups/ |access-date=September 6, 2018 |publisher=Venture Beat |archive-date=November 9, 2020 |archive-url=https://web.archive.org/web/20201109013825/https://venturebeat.com/2018/03/27/nvidias-inception-ai-contest-awards-1-million-to-3-top-startups/ |url-status=live}} As of August 2021, the program has surpassed 8,500 members in 90 countries, with cumulative funding of US$60 billion.{{Cite news |date=August 2, 2021 |title=Better Than 8K Resolution: NVIDIA Inception Displays Global AI Startup Ecosystem |language=en-US |work=The Official NVIDIA Blog |url=https://blogs.nvidia.com/blog/2021/08/02/inception-8k-members/ |access-date=September 10, 2021 |archive-date=September 10, 2021 |archive-url=https://web.archive.org/web/20210910162307/https://blogs.nvidia.com/blog/2021/08/02/inception-8k-members/ |url-status=live}}

{{Main|GeForce 900 series#Advertising controversy}}

Issues with the GeForce GTX 970's specifications were first brought up by users when they found out that the cards, while featuring 4 GB of memory, rarely accessed memory over the 3.5 GB boundary. Further testing and investigation eventually led to Nvidia issuing a statement that the card's initially announced specifications had been altered without notice before the card was made commercially available, and that the card took a performance hit once memory over the 3.5 GB limit were put into use.{{cite web |url=http://www.pcper.com/reviews/Graphics-Cards/NVIDIA-Discloses-Full-Memory-Structure-and-Limitations-GTX-970 |title=NVIDIA Discloses Full Memory Structure and Limitations of GTX 970 |publisher=PCPer|access-date=January 28, 2015|archive-url=https://web.archive.org/web/20150225180420/http://www.pcper.com/reviews/Graphics-Cards/NVIDIA-Discloses-Full-Memory-Structure-and-Limitations-GTX-970|archive-date=February 25, 2015|url-status=dead}}{{cite web |url=http://wccftech.com/nvidia-geforce-gtx-970-memory-issue-fully-explained/ |title=GeForce GTX 970 Memory Issue Fully Explained – Nvidia's Response |date=January 24, 2015 |publisher=WCFTech|access-date=August 16, 2021|archive-date=March 7, 2015|archive-url=https://web.archive.org/web/20150307020110/http://wccftech.com/nvidia-geforce-gtx-970-memory-issue-fully-explained/|url-status=live}}{{cite web |url=http://www.pcgamer.com/why-nvidias-gtx-970-slows-down-using-more-than-35gb-vram/ |title=Why Nvidia's GTX 970 slows down when using more than 3.5GB VRAM |date=January 26, 2015 |publisher=PCGamer|access-date=August 16, 2021|archive-date=March 2, 2015|archive-url=https://web.archive.org/web/20150302151518/http://www.pcgamer.com/why-nvidias-gtx-970-slows-down-using-more-than-35gb-vram/|url-status=live}}

The card's back-end hardware specifications, initially announced as being identical to those of the GeForce GTX 980, differed in the amount of L2 cache (1.75 MB versus 2 MB in the GeForce GTX 980) and the number of ROPs (56 versus 64 in the 980). Additionally, it was revealed that the card was designed to access its memory as a 3.5 GB section, plus a 0.5 GB one, access to the latter being 7 times slower than the first one.{{cite web |url=http://www.anandtech.com/show/8935/geforce-gtx-970-correcting-the-specs-exploring-memory-allocation |title=GeForce GTX 970: Correcting The Specs & Exploring Memory Allocation |publisher=AnandTech|access-date=August 16, 2021|archive-date=February 25, 2015|archive-url=https://web.archive.org/web/20150225183034/http://www.anandtech.com/show/8935/geforce-gtx-970-correcting-the-specs-exploring-memory-allocation|url-status=live}} The company then went on to promise a specific driver modification to alleviate the performance issues produced by the cutbacks suffered by the card.{{cite web |url=http://wccftech.com/nvidia-working-driver-geforce-gtx-970-tune-memory-allocation-problems-improve-performance/ |title=NVIDIA Working on New Driver For GeForce GTX 970 To Tune Memory Allocation Problems and Improve Performance |date=January 28, 2015 |publisher=WCFTech|access-date=August 16, 2021|archive-date=February 17, 2015|archive-url=https://web.archive.org/web/20150217061234/http://wccftech.com/nvidia-working-driver-geforce-gtx-970-tune-memory-allocation-problems-improve-performance/|url-status=live}} However, Nvidia later clarified that the promise had been a miscommunication and there would be no specific driver update for the GTX 970.{{cite web |url=http://www.pcworld.com/article/2876802/nvidia-plans-geforce-gtx-970-driver-update-for-memory-performance-concerns.html/ |title=NVIDIA clarifies no driver update for GTX 970 specifically |date=January 29, 2015 |publisher=PC World|access-date=August 16, 2021|archive-date=August 30, 2021|archive-url=https://web.archive.org/web/20210830210733/https://www.pcworld.com/article/2876802/nvidia-plans-geforce-gtx-970-driver-update-for-memory-performance-concerns.html|url-status=live}} Nvidia claimed that it would assist customers who wanted refunds in obtaining them.{{cite web |url=http://www.pcper.com/news/Graphics-Cards/NVIDIA-Plans-Driver-Update-GTX-970-Memory-Issue-Help-Returns |title=NVIDIA Plans Driver Update for GTX 970 Memory Issue, Help with Returns |work=pcper.com |date=January 28, 2015|access-date=August 16, 2021|archive-date=February 14, 2015|archive-url=https://web.archive.org/web/20150214101918/http://www.pcper.com/news/Graphics-Cards/NVIDIA-Plans-Driver-Update-GTX-970-Memory-Issue-Help-Returns|url-status=live}} On February 26, 2015, Nvidia CEO Jen-Hsun Huang went on record in Nvidia's official blog to apologize for the incident.{{cite web |url=http://www.pcgamer.com/nvidia-ceo-addresses-gtx-970-controversy/ |title=Nvidia CEO addresses GTX 970 controversy |publisher=PCGamer |date=February 26, 2015|access-date=August 16, 2021|archive-date=February 27, 2015|archive-url=https://web.archive.org/web/20150227104339/http://www.pcgamer.com/nvidia-ceo-addresses-gtx-970-controversy/|url-status=live}} In February 2015 a class-action lawsuit alleging false advertising was filed against Nvidia and Gigabyte Technology in the U.S. District Court for Northern California.{{cite news |url=http://www.pcgamer.com/nvidia-faces-false-advertising-lawsuit-over-gtx-970-specs/ |title=Nvidia faces false advertising lawsuit over GTX 970 specs |last=Chalk |first=Andy |date=February 22, 2015 |work=PC Gamer|access-date=March 27, 2015|archive-date=March 24, 2015|archive-url=https://web.archive.org/web/20150324202726/http://www.pcgamer.com/nvidia-faces-false-advertising-lawsuit-over-gtx-970-specs/|url-status=live}}{{cite news |url=http://www.pcworld.com/article/2887234/nvidia-hit-with-false-advertising-suit-over-gtx-970-performance.html |title=Nvidia hit with false advertising suit over GTX 970 performance |last=Niccolai |first=James |date=February 20, 2015 |work=PC World|access-date=March 27, 2015|archive-date=March 26, 2015|archive-url=https://web.archive.org/web/20150326052210/http://www.pcworld.com/article/2887234/nvidia-hit-with-false-advertising-suit-over-gtx-970-performance.html|url-status=live}}

Nvidia revealed that it is able to disable individual units, each containing 256 KB of L2 cache and 8 ROPs, without disabling whole memory controllers.{{cite web |url=http://www.anandtech.com/show/8935/geforce-gtx-970-correcting-the-specs-exploring-memory-allocation/2 |title=Diving Deeper: The Maxwell 2 Memory Crossbar & ROP Partitions – GeForce GTX 970: Correcting The Specs & Exploring Memory Allocation |author=Ryan Smith |work=anandtech.com|access-date=August 16, 2021|archive-date=February 26, 2015|archive-url=https://web.archive.org/web/20150226174250/http://www.anandtech.com/show/8935/geforce-gtx-970-correcting-the-specs-exploring-memory-allocation/2|url-status=live}} This comes at the cost of dividing the memory bus into high speed and low speed segments that cannot be accessed at the same time unless one segment is reading while the other segment is writing because the L2/ROP unit managing both of the GDDR5 controllers shares the read return channel and the write data bus between the two GDDR5 controllers and itself. This is used in the GeForce GTX 970, which therefore can be described as having 3.5 GB in its high speed segment on a 224-bit bus and 0.5 GB in a low speed segment on a 32-bit bus.

On July 27, 2016, Nvidia agreed to a preliminary settlement of the U.S. class action lawsuit, offering a $30 refund on GTX 970 purchases. The agreed upon refund represents the portion of the cost of the storage and performance capabilities the consumers assumed they were obtaining when they purchased the card.{{cite news |url=https://topclassactions.com/lawsuit-settlements/lawsuit-news/340705-nvidia-settles-graphics-card-false-advertising-class-action |title=Nvidia settles class action lawsuit |date=July 27, 2016 |work=Top Class Actions|access-date=July 27, 2016|archive-date=July 28, 2016|archive-url=https://web.archive.org/web/20160728134302/https://topclassactions.com/lawsuit-settlements/lawsuit-news/340705-nvidia-settles-graphics-card-false-advertising-class-action/|url-status=live}}

{{Main|GeForce Partner Program}}The Nvidia GeForce Partner Program was a marketing program designed to provide partnering companies with benefits such as public relations support, video game bundling, and marketing development funds.{{cite web |title=Nvidia gets anti-competitive with unsavory GeForce Partner Program |date=March 12, 2018 |url=https://www.techspot.com/news/73661-nvidia-gets-anti-competitive-unsavory-geforce-partner-program.html |publisher=|access-date=April 17, 2021|archive-date=April 17, 2021|archive-url=https://web.archive.org/web/20210417102448/https://www.techspot.com/news/73661-nvidia-gets-anti-competitive-unsavory-geforce-partner-program.html|url-status=live}} The program proved to be controversial, with complaints about it possibly being an anti-competitive practice.{{cite web |last1=Bennett |first1=Kyle |title=GeForce Partner Program Impacts Consumer Choice |url=https://www.hardocp.com/article/2018/03/07/geforce_partner_program_impacts_consumer_choice |archive-url=https://web.archive.org/web/20190712164949/https://www.hardocp.com/article/2018/03/07/geforce_partner_program_impacts_consumer_choice |url-status=dead |archive-date=July 12, 2019 |website=HardOcP |date=March 8, 2018}}

First announced in a blog post on March 1, 2018,{{Cite news |date=March 1, 2018 |title=GeForce Partner Program Helps Gamers Know What They're Buying {{!}} NVIDIA Blog|language=en-US|work=The Official NVIDIA Blog|url=https://blogs.nvidia.com/blog/2018/03/01/geforce-partner-program/|access-date=April 10, 2018|archive-date=April 17, 2021|archive-url=https://web.archive.org/web/20210417102449/https://blogs.nvidia.com/blog/2018/03/01/geforce-partner-program/|url-status=live}} it was canceled on May 4, 2018.{{cite news |last1=Killian |first1=Zak |date=May 4, 2018 |title=Nvidia puts the kibosh on the GeForce Partner Program |publisher=Tech Report |url=https://techreport.com/news/33603/nvidia-puts-the-kibosh-on-the-geforce-partner-program |accessdate=May 4, 2018|archive-date=August 12, 2022|archive-url=https://web.archive.org/web/20220812101343/https://techreport.com/news/33603/nvidia-puts-the-kibosh-on-the-geforce-partner-program/|url-status=live}}

On December 10, 2020, Nvidia told YouTube tech reviewer Steven Walton of Hardware Unboxed that it would no longer supply him with GeForce Founders Edition graphics card review units.{{Cite web |last=Miller |first=Chris |date=December 12, 2020 |title=Nvidia Under Fire For Banning Review Site That Doesn't Focus On Nvidia Hardware Strengths {{!}} Happy Gamer |url=https://happygamer.com/nvidia-under-fire-for-banning-review-site-that-doesnt-focus-on-nvidia-hardware-strengths-97094/ |access-date=December 13, 2020 |website=HappyGamer |language=en-US |archive-date=December 17, 2020 |archive-url=https://web.archive.org/web/20201217023151/https://happygamer.com/nvidia-under-fire-for-banning-review-site-that-doesnt-focus-on-nvidia-hardware-strengths-97094/ |url-status=live }}{{Cite web |date=December 13, 2020 |title=Hardware Unboxed VS NVIDIA: a Masterpiece of Bad Marketing |url=https://pangoly.com/en/blog/hardware-unboxed-vs-nvidia-a-masterpiece-of-bad-marketing/126 |access-date=December 17, 2020 |website=Pangoly |language=en |archive-date=January 23, 2021 |archive-url=https://web.archive.org/web/20210123122503/https://pangoly.com/en/blog/hardware-unboxed-vs-nvidia-a-masterpiece-of-bad-marketing/126 |url-status=live}} In a Twitter message, Hardware Unboxed said, "Nvidia have officially decided to ban us from receiving GeForce Founders Edition GPU review samples. Their reasoning is that we are focusing on rasterization instead of ray tracing. They have said they will revisit this 'should your editorial direction change.{{'"}}{{Cite web |title=Nvidia have officially decided to ban us from receiving GeForce Founders Edition GPU review samples |url=https://twitter.com/hardwareunboxed/status/1337246983682060289 |access-date=December 13, 2020 |website=Twitter |language=en |archive-date=December 24, 2020 |archive-url=https://web.archive.org/web/20201224024257/https://twitter.com/HardwareUnboxed/status/1337246983682060289 |url-status=live}}

In emails that were disclosed by Walton from Nvidia Senior PR Manager Bryan Del Rizzo, Nvidia had said:

...your GPU reviews and recommendations have continued to focus singularly on rasterization performance, and you have largely discounted all of the other technologies we offer gamers. It is very clear from your community commentary that you do not see things the same way that we, gamers, and the rest of the industry do.

A number of technology reviewers came out strongly against Nvidia's move.{{Cite web |date=December 14, 2020 |title=Nvidia puts pressure on the hardware press |url=https://www.hardwareheaven.com/nvidia-puts-pressure-on-the-hardware-press/ |access-date=December 15, 2020 |website=HardwareHeaven.com |language=en-US |archive-date=December 14, 2020 |archive-url=https://web.archive.org/web/20201214115601/https://www.hardwareheaven.com/nvidia-puts-pressure-on-the-hardware-press/ |url-status=dead}} Linus Sebastian, of Linus Tech Tips, titled the episode of his weekly WAN Show, "NVIDIA might ACTUALLY be EVIL..."{{Cite web |last=Kokhanyuk |first=Stanislav |title=I believe in ray tracing, but I do not believe in Nvidia's RTX 3000-series GPUs |url=https://www.notebookcheck.net/I-believe-in-ray-tracing-but-I-do-not-believe-in-Nvidia-s-RTX-3000-series-GPUs.509180.0.html |access-date=December 13, 2020 |website=Notebookcheck |date=December 13, 2020 |language=en |archive-date=December 29, 2020 |archive-url=https://web.archive.org/web/20201229095954/https://www.notebookcheck.net/I-believe-in-ray-tracing-but-I-do-not-believe-in-Nvidia-s-RTX-3000-series-GPUs.509180.0.html |url-status=live}} and was highly critical of the company's move to dictate specific outcomes of technology reviews.{{Cite web |date=December 11, 2020 |title=NVIDIA might ACTUALLY be EVIL... – WAN Show December 11, 2020 |url=https://www.youtube.com/watch?v=iXn9O-Rzb_M |archive-url=https://ghostarchive.org/varchive/youtube/20211211/iXn9O-Rzb_M| archive-date=December 11, 2021 |url-status=live |website=YouTube}}{{cbignore}} The review site Gamers Nexus said it was, "Nvidia's latest decision to shoot both its feet: They've now made it so that any reviewers covering RT will become subject to scrutiny from untrusting viewers who will suspect subversion by the company. Shortsighted self-own from NVIDIA."{{Cite web |date=December 11, 2020 |title=I have something else to say about NVIDIA's latest decision to shoot both its feet: They've now made it so that any reviewers covering RT will become subject to scrutiny from untrusting viewers who will suspect subversion by the company. Shortsighted self-own from NVIDIA. |url=https://twitter.com/gamersnexus/status/1337300582785282049 |access-date=December 13, 2020 |website=Twitter |language=en |archive-date=December 21, 2020 |archive-url=https://web.archive.org/web/20201221025356/https://twitter.com/GamersNexus/status/1337300582785282049 |url-status=live}}

Two days later, Nvidia reversed their stance.{{Cite web |last=Farrell |first=Nick |date=December 14, 2020 |title=Nvidia retreats from PR disaster |url=https://fudzilla.com/news/52042-nvidia-retreats-from-pr-disaster |access-date=December 14, 2020 |website=fudzilla.com |language=en-gb |archive-date=December 14, 2020 |archive-url=https://web.archive.org/web/20201214112414/https://www.fudzilla.com/news/52042-nvidia-retreats-from-pr-disaster |url-status=live}}{{Cite web |date=December 15, 2020 |title=Nvidia issues an Apology for Backlisting Hardware Unboxed as their Reviewer |url=https://appuals.com/nvidia-issues-an-apology-for-backlisting-hardware-unboxed-as-their-reviewer/ |access-date=December 16, 2020 |website=Appuals.com |language=en-US |archive-date=December 15, 2020 |archive-url=https://web.archive.org/web/20201215194427/https://appuals.com/nvidia-issues-an-apology-for-backlisting-hardware-unboxed-as-their-reviewer/ |url-status=dead}} Hardware Unboxed sent out a Twitter message, "I just received an email from Nvidia apologizing for the previous email & they've now walked everything back."{{Cite web |date=December 12, 2020 |title=I just received an email from Nvidia apologizing for the previous email & they've now walked everything back. |url=https://twitter.com/hardwareunboxed/status/1337885741389471745 |access-date=December 13, 2020 |website=Twitter |language=en |archive-date=January 13, 2021 |archive-url=https://web.archive.org/web/20210113023143/https://twitter.com/HardwareUnboxed/status/1337885741389471745 |url-status=live}}{{Cite web |last=Alderson |first=Alex |title=NVIDIA u-turns on its decision to block Hardware Unboxed from receiving GPU review units |url=https://www.notebookcheck.net/NVIDIA-u-turns-on-its-decision-to-block-Hardware-Unboxed-from-receiving-GPU-review-units.509177.0.html |access-date=December 13, 2020 |website=Notebookcheck |date=December 13, 2020 |language=en |archive-date=December 14, 2020 |archive-url=https://web.archive.org/web/20201214233828/https://www.notebookcheck.net/NVIDIA-u-turns-on-its-decision-to-block-Hardware-Unboxed-from-receiving-GPU-review-units.509177.0.html |url-status=live}} On December 14, Hardware Unboxed released a video explaining the controversy from their viewpoint.{{Cite web |last=Hardware Unboxed |title=Nvidia Bans Hardware Unboxed, Then Backpedals: Our Thoughts |url=https://www.youtube.com/watch?v=wdAMcQgR92k |archive-url=https://ghostarchive.org/varchive/youtube/20211211/wdAMcQgR92k| archive-date=December 11, 2021 |url-status=live|access-date=December 14, 2020 |website=YouTube|date=December 14, 2020 }}{{cbignore}} Via Twitter, they also shared a second apology sent by Nvidia's Del Rizzo that said "to withhold samples because I didn't agree with your commentary is simply inexcusable and crossed the line."{{Cite web |last=Hardware Unboxed |date=December 14, 2020 |title=Twitter: Bryan Del Rizzo from Nvidia has reached out a second time to apologize and asked us to share this with you. |url=https://twitter.com/hardwareunboxed/status/1338709463721672705 |access-date=December 22, 2020 |archive-date=December 15, 2020 |archive-url=https://web.archive.org/web/20201215045635/https://twitter.com/HardwareUnboxed/status/1338709463721672705 |url-status=live}}{{Cite web |last=Stanley |first=Donny |date=December 15, 2020 |title=NVIDIA Apologizes For Email Blacklisting Reviewer, Retracts Original Statements |url=https://adoredtv.com/nvidia-apologizes-for-email-blacklisting-reviewer-retracts-original-statements/ |access-date=December 22, 2020 |website=AdoredTV |language=en-US |archive-date=December 15, 2020 |archive-url=https://web.archive.org/web/20201215095411/https://adoredtv.com/nvidia-apologizes-for-email-blacklisting-reviewer-retracts-original-statements/ |url-status=dead}}

In 2018, Nvidia's chips became popular for cryptomining, the process of obtaining crypto rewards in exchange for verifying transactions on distributed ledgers, the U.S. Securities and Exchange Commission (SEC) said. However, the company failed to disclose that it was a "significant element" of its revenue growth from sales of chips designed for gaming, the SEC further added in a statement and charging order. Those omissions misled investors and analysts who were interested in understanding the impact of cryptomining on Nvidia's business, the SEC emphasized. Nvidia, which did not admit or deny the findings, has agreed to pay $5.5 million to settle civil charges, according to a statement made by the SEC in May 2022.{{Cite news |last1=Prentice |first1=Chris |last2=Singh |first2=Kanishka |date=May 6, 2022 |title=Nvidia to pay $5.5 million penalty for 'inadequate disclosures' about cryptomining |language=en |work=Reuters |url=https://www.reuters.com/technology/us-sec-charges-nvidia-with-inadequate-disclosures-about-impact-cryptomining-2022-05-06/ |access-date=May 7, 2022 |archive-date=May 7, 2022 |archive-url=https://web.archive.org/web/20220507154409/https://www.reuters.com/technology/us-sec-charges-nvidia-with-inadequate-disclosures-about-impact-cryptomining-2022-05-06/ |url-status=live}}

On September 26, 2023, Nvidia's French offices were searched by the French Competition Authority. The raid, authorized by a judge, was part of an investigation into suspected anti-competitive practices in the graphics card sector. Nvidia has not publicly commented on the incident.{{Cite web |last=IV |first=Antonio Pequeño |title=Nvidia's French Offices Raided Over Antitrust Concerns, Report Says |url=https://www.forbes.com/sites/antoniopequenoiv/2023/09/28/nvidias-french-offices-raided-over-antitrust-concerns-report-says/ |access-date=2025-03-10 |website=Forbes |language=en}}

In May 2025, U.S. senators Jim Banks and Elizabeth Warren criticized a proposed Nvidia facility in Shanghai, saying that it "raises significant national security and economic security issues that warrant serious review."{{Cite web |last1=Beavers |first1=Olivia |last2=Ramkumar |first2=Amrith |date=May 29, 2025 |title=Senators Bash Nvidia's Plans for Facility in China |url=https://www.wsj.com/politics/senators-bash-nvidias-plans-for-facility-in-china-6f581018 |url-access=subscription |url-status=live |archive-url=https://archive.is/sWZkv |archive-date=May 29, 2025 |access-date=2025-05-30 |website=The Wall Street Journal |language=en-US}}

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{{Reflist|30em}}

• {{cite book |last1=Witt |first1=Stephen |title=The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip |date=2025 |publisher=Penguin Publishing Group |isbn=9780593832691}}

{{Commons category|Nvidia}}

• {{Official website}}
• [https://developer.nvidia.com/ Nvidia Developer website]
• {{OpenSecrets}}

{{Finance links

| name = Nvidia

| symbol = NVDA

| reuters = NVDA.O

| bloomberg = NVDA:US

| sec_cik = 1045810

| yahoo = NVDA

| google = NVDA:NASDAQ

}}

• [https://www.c-span.org/program/book-tv/after-words-with-stephen-witt/657769 After Words interview with Stephen Witt on The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip, April 25, 2025], C-SPAN
• [https://1000logos.net/geforce-logo/ GeForce logo history at 1000logos]

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