そこで、NVIDIAは「Ampere」や、「Hopper」といったAIの学習および推論に最適化したアーキテクチャを開発し、Ampereを採用した「A100」やHopperを採用し ...

また、NVIDIAは組み込み用の「EGX A100」を発表した。次の図のように、A100 GPUと、買収を完了したMellanoxのConnectX6 DX NICを搭載したボードになっている。

The Ampere server could either be eight GPUs working together for training, or it could be 56 GPUs made for inference,' Nvidia CEO Jensen Huang says of the chipmaker's game changing A100 GPU.

Nvidia's channel partners will be critical ... There's a clear reason why people should build their next data center with Ampere, with A100 as Jensen showed in the keynote: it's one-tenth the ...

Nvidia's Ampere A100 was previously one of the top AI accelerators, before being dethroned by the newer Hopper H100 — not to mention the H200 and upcoming Blackwell GB200. It looks like the ...

But it is really cool you can just pass that pointer from malloc() to a CUDA kernel and it just works. Inside the NVIDIA Ampere Architecture: Good high-level introduction of what's new in Ampere. This ...

and NVIDIA Ampere GPU architectures automatically. TensorFloat-32 (TF32) TensorFloat-32 (TF32) is the new math mode in NVIDIA A100 GPUs for handling the matrix math also called tensor operations. TF32 ...

NVIDIA DGX™ A100 is the universal system for all AI workloads, offering unprecedented compute density, performance, and flexibility. NVIDIA DGX A100 features the world’s most advanced accelerator, the ...

and transparently encrypt all communications between the CPU and GPU A new feature called Ampere Protected Memory (APM), in Nvidia's A100 Tensor Core GPUs, is a step towards this goal.