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| − | [[wikipedia: | + | {{Draft}} |
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| + | [[wikipedia:NVIDIA]] | ||
== Binaries == | == Binaries == | ||
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== Models == | == Models == | ||
| − | * | + | * 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>) |
** T4 can decode up to 38 [[full HD]] video streams | ** T4 can decode up to 38 [[full HD]] video streams | ||
** Up to 20 GPUs in a single node. | ** Up to 20 GPUs in a single node. | ||
** 320 TURING TENSOR CORES | ** 320 TURING TENSOR CORES | ||
** 2,560 NVIDIA CUDA® CORES | ** 2,560 NVIDIA CUDA® CORES | ||
| − | ** 8.1 | + | ** 8.1 TFLOPS at [[FP32]], 65 TFLOPS at FP16 as well as 130 TOPS of INT8 and 260 TOPS of INT4 |
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* 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 | ||
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== Related terms == | == Related terms == | ||
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* [[Nvidia Jetson]]: [[Jetson nano]] | * [[Nvidia Jetson]]: [[Jetson nano]] | ||
* [[Tegra]] | * [[Tegra]] | ||
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== See also == | == See also == | ||
| − | * {{ | + | * {{GPU}} |
* {{Nvidia}} | * {{Nvidia}} | ||
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[[Category:Computing]] | [[Category:Computing]] | ||
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