Nvidia unveils the A100 Tensor Core GPU

Stefan Mileschin · 15th May 2020, 09:37

GPU compute beast for DGX A100 AI system

The focus of the GTC 2020 was Nvidia's new A100 Tensor Core GPU, which is based on the new Ampere architecture GA100 GPU, and will be a part of Nvidia's new DGX A100 AI system. As a direct successor of the V100 accelerator, the A100 will bring both significant compute performance improvements and new features.

As we already wrote, the A100 Tensor Core GPU is based on the GA100 GPU, which we wrote about earlier, and when compared to the fully enabled GPU, it comes with one less GPC, leaving it with a total of 108 SMs and 6912 FP32 CUDA cores, as well as 432 Tensor Cores, and 40GB of HBM2 on a 5120-bit memory interface with 1.6TB/s of memory bandwidth.
https://fudzilla.com/news/ai/50832-n...ensor-core-gpu

15th May 2020, 09:37	#1
Stefan Mileschin [M] Reviewer Join Date: May 2010 Location: Romania Posts: 153,514	Nvidia unveils the A100 Tensor Core GPU GPU compute beast for DGX A100 AI system The focus of the GTC 2020 was Nvidia's new A100 Tensor Core GPU, which is based on the new Ampere architecture GA100 GPU, and will be a part of Nvidia's new DGX A100 AI system. As a direct successor of the V100 accelerator, the A100 will bring both significant compute performance improvements and new features. As we already wrote, the A100 Tensor Core GPU is based on the GA100 GPU, which we wrote about earlier, and when compared to the fully enabled GPU, it comes with one less GPC, leaving it with a total of 108 SMs and 6912 FP32 CUDA cores, as well as 432 Tensor Cores, and 40GB of HBM2 on a 5120-bit memory interface with 1.6TB/s of memory bandwidth. https://fudzilla.com/news/ai/50832-n...ensor-core-gpu

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