Nvidia Tesla
{{short description|Nvidia's line of general purpose GPUs}}
{{About|GPGPU cards|the GPU microarchitecture|Tesla (microarchitecture)}}
{{Redirect|Tesla P100|the line of performance cars by Tesla Motors (P100D)|Tesla Model S|and|Tesla Model X}}
{{Use dmy dates|date=October 2018}}
{{Infobox computer hardware
| name = Nvidia Tesla
| image = File:NvidiaTesla.jpg
| codename =
| manufacturer = Nvidia
| type = General purpose graphics cards
| introduced = {{Start date and age|2007|05|02|br=yes}}
| discontinued = The Tesla branding was discontinued in {{end date and age|2020|05}} - now branded as Nvidia Data Center GPUs
| entry =
| midrange =
| highend =
| d3dversion =
}}
Nvidia Tesla is the former name for a line of products developed by Nvidia targeted at stream processing or general-purpose graphics processing units (GPGPU), named after pioneering electrical engineer Nikola Tesla. Its products began using GPUs from the G80 series, and have continued to accompany the release of new chips. They are programmable using the CUDA or OpenCL APIs.
The Nvidia Tesla product line competed with AMD's Radeon Instinct and Intel Xeon Phi lines of deep learning and GPU cards.
Nvidia retired the Tesla brand in May 2020, reportedly because of potential confusion with the brand of cars.{{Cite web|last=Casas|first=Alex|date=2020-05-19|title=NVIDIA Drops Tesla Brand To Avoid Confusion With Tesla|url=https://wccftech.com/nvidia-drops-tesla-brand-to-avoid-confusion-with-tesla/|access-date=2020-07-08|website=Wccftech|language=en-US}} Its new GPUs are branded Nvidia Data Center GPUs{{Cite web|url=https://www.nvidia.com/en-us/data-center/data-center-gpus/|title = NVIDIA Supercomputing Solutions}} as in the Ampere-based A100 GPU.{{Cite web|title=NVIDIA A100 GPUs Power the Modern Data Center|url=https://www.nvidia.com/en-us/data-center/a100/|access-date=2020-07-08|website=NVIDIA|language=en-us}}
Nvidia DGX servers feature Nvidia GPGPUs.
Overview
Offering computational power much greater than traditional microprocessors, the Tesla products targeted the high-performance computing market.{{cite web|url=http://www.nvidia.com/object/tesla-supercomputing-solutions.html|title=High Performance Computing - Supercomputing with Tesla GPUs}} {{As of |2012}}, Nvidia Teslas power some of the world's fastest supercomputers, including Summit at Oak Ridge National Laboratory and Tianhe-1A, in Tianjin, China.
Tesla cards have four times the double precision performance of a Fermi-based Nvidia GeForce card of similar single precision performance.{{cn|date=June 2015}}
Unlike Nvidia's consumer GeForce cards and professional Nvidia Quadro cards, Tesla cards were originally unable to output images to a display. However, the last Tesla C-class products included one Dual-Link DVI port.{{cite web |url=http://www.nvidia.com/object/personal-supercomputing.html|title=Professional Workstation Solutions}}
Applications
Tesla products are primarily used in simulations and in large-scale calculations (especially floating-point calculations), and for high-end image generation for professional and scientific fields.[http://www.nvidia.com/docs/IO/43395/tesla_technical_brief.pdf Tesla Technical Brief (PDF)]
In 2013, the defense industry accounted for less than one-sixth of Tesla sales, but Sumit Gupta predicted increasing sales to the geospatial intelligence market.{{Cite web|title=Nvidia chases defense, intelligence ISVs with GPUs|url=https://www.theregister.com/2013/07/24/nvidia_geospatial_intelligence_gpu/|access-date=2020-07-08|website=www.theregister.com|language=en}}
Specifications
{{Nvidia Tesla}}
See also
References
{{Reflist|30em}}
External links
{{Commons category|Nvidia Tesla series}}
- [https://www.nvidia.com/en-us/data-center/data-center-gpus/ NVIDIA Data Center GPUs]
- [http://www.nvidia.com/object/tesla_product_literature.html NVIDIA Product Overview and Technical Brief]
- [https://web.archive.org/web/20080728200305/http://www.nvidia.com/object/tesla_computing_solutions.html NVIDIA's Tesla homepage]
{{NVIDIA}}
{{Graphics Processing Unit}}