Difference between revisions of "Nvidia"

From wikieduonline
Jump to navigation Jump to search
 
(14 intermediate revisions by the same user not shown)
Line 1: Line 1:
[[wikipedia:Nvidia]] ([[S&P 100]]) ([[Santa Clara]])
+
[[wikipedia:Nvidia]] ([[S&P 100]], [https://www.google.com/finance/quote/NVDA:NASDAQ?hl=en&window=MAX NVDA], [https://trends.google.com/trends/explore?date=today%205-y&q=nvidia&hl=en trends]) ([[Santa Clara]])
  
 
== Binaries ==
 
== Binaries ==
Line 5: Line 5:
  
 
== Models ==
 
== Models ==
* Nvidia P100
+
* [[Nvidia P100]]
 
* [[Nvidia V100]]
 
* [[Nvidia V100]]
 
* [[Nvidia T4]] (September 2018<ref>https://nvidianews.nvidia.com/news/new-nvidia-data-center-inference-platform-to-fuel-next-wave-of-ai-powered-services</ref>)
 
* [[Nvidia T4]] (September 2018<ref>https://nvidianews.nvidia.com/news/new-nvidia-data-center-inference-platform-to-fuel-next-wave-of-ai-powered-services</ref>)
Line 16: Line 16:
  
 
* [[Nvidia A100]]
 
* [[Nvidia A100]]
 +
* [[Nvidia H100 GPU]]
  
  
 
* Nvidia DGX-2 https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/dgx-2/dgx-2-print-datasheet-738070-nvidia-a4-web-uk.pdf
 
* Nvidia DGX-2 https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/dgx-2/dgx-2-print-datasheet-738070-nvidia-a4-web-uk.pdf
 +
 +
* [[Nvidia Drive PX]]
  
 
== Related terms ==
 
== Related terms ==
Line 31: Line 34:
 
* [[Tegra]]
 
* [[Tegra]]
 
* [[Jensen Huang]]
 
* [[Jensen Huang]]
* [[FLOPS]]
+
* [[Qualcomm]]: [[Qualcomm Snapdragon]]
* [[Qualcomm]]
 
 
* [[Intel]]
 
* [[Intel]]
 
* [[Nvidia Grace]]
 
* [[Nvidia Grace]]
 
* [[Ampere]]
 
* [[Ampere]]
 
* [[Pascal]]
 
* [[Pascal]]
 +
* [[AWS GPUs]]: [[G5]]
  
 
== See also ==
 
== See also ==
 +
* {{Nvidia tools}}
 +
* {{Nvidia}}
 
* {{GPU}}
 
* {{GPU}}
* {{Nvidia}}
 
  
 
[[Category:Computing]]
 
[[Category:Computing]]

Latest revision as of 11:46, 29 May 2024

wikipedia:Nvidia (S&P 100, NVDA, trends) (Santa Clara)

Binaries[edit]

Models[edit]

  • Nvidia P100
  • Nvidia V100
  • Nvidia T4 (September 2018[1])
    • T4 can decode up to 38 full HD video streams
    • Up to 20 GPUs in a single node.
    • 320 TURING TENSOR CORES
    • 2,560 NVIDIA CUDA® CORES
    • 8.1 TFLOPs at FP32, 65 TFLOPS at FP16 as well as 130 TOPS of INT8 and 260 TOPS of INT4



Related terms[edit]

See also[edit]

  • https://nvidianews.nvidia.com/news/new-nvidia-data-center-inference-platform-to-fuel-next-wave-of-ai-powered-services
  • Advertising: