Nvidia GRID

{{short description|Family of GPUs by Nvidia}}

File:NVidia GRID K1 standing.jpg for four seats using four independent GK107 GPUs with 4 GB of graphics memory each.]]

Nvidia GRID was a family of graphics processing units (GPUs) made by Nvidia, introduced in 2008, that were targeted specifically towards GPU virtualization and cloud gaming.{{cite conference |last1=Hou |first1=Qingdong |last2=Qiu |first2=Chu |last3=Mu |first3=Kaihui |last4=Qi |first4=Quan |last5=Lu |first5=Yongquan |title=A Cloud Gaming System Based on NVIDIA GRID GPU |pages=73–77 |doi=10.1109/DCABES.2014.19 |conference=2014 13th International Symposium on Distributed Computing and Applications to Business, Engineering and Science |date=2014 |isbn=978-1-4799-4169-8 }} The Nvidia GRID includes both graphics processing and video encoding into a single device which is able to decrease the input to display latency of cloud based video game streaming.{{cite journal |last1=Shea |first1=Ryan |last2=Liu |first2=Liu |last3=Ngai |first3=Edith |last4=Cui |first4=Yong |date=2013 |title=Cloud gaming: Architecture and performance |journal=IEEE Network |volume=27 |issue=4 |pages=16–24 |doi=10.1109/MNET.2013.6574660|citeseerx=10.1.1.394.1568 |s2cid=7712263 }} It was previously used by Nvidia's GeForce Now, a paid cloud gaming service.

While many of Nvidia’s cards are known for gaming, there has been a recent growth of business applications that are GPU-accelerated.{{timeframe?|date=August 2023}} The Nvidia GRID K1 and K2 are being integrated with Supermicro server clusters for use with 3D-intensive applications such as graphics and computer aided design (CAD).{{cite news |title=Supermicro server platforms use NVIDIA GRID technology |work=Internet Business News |date=24 May 2013 |id={{ProQuest|1354964616}} }} In 2015, Microsoft began including Nvidia GRID as part of its Azure Enterprise cloud platform targeted towards professionals such as engineers, designers and researchers.{{cite press release |title=NVIDIA GPUs to Accelerate Microsoft Azure |publisher=NVIDIA |date=September 29, 2015 |url=https://nvidianews.nvidia.com/news/nvidia-gpus-to-accelerate-microsoft-azure |accessdate=July 26, 2020 }}

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+ Specifications{{cite web |url=https://www.techpowerup.com/gpu-specs/grid-k1.c1699 |title=NVIDIA GRID K1 |work=techpowerup |access-date=2023-03-04}}{{cite web |url=https://www.techpowerup.com/gpu-specs/grid-k2.c1700 |title=NVIDIA GRID K2 |work=techpowerup |access-date=2023-03-04}}{{cite web |url=https://www.nvidia.com/content/grid/resources/grid-k1-k2-datasheet.pdf |title=NVIDIA GRID K1 AND K2 |work=nvidia |access-date=2023-03-04}} ! !! GRID K1 !! Grid K2
style="text-align:left" | Microarchitecture |colspan="2" style="text-align:center" | Kepler
style="text-align:left" | Number of GPUs | 4× GK107 || 2× GK104
style="text-align:left" | Number of CUDA cores | 4× 192 || 2× 1536
style="text-align:left" | Memory site | 4× 4 GB DDR3 || 2× 4 GB GDDR5
style="text-align:left" | Max power | 130 W || 225 W