NVIDIA?GPU是推動人工智能革命的主要計算引擎，為人工智能訓(xùn)練和推理工作負(fù)載提供了巨大的加速。此外，NVIDIA GPU加速了許多類型的HPC和數(shù)據(jù)分析應(yīng)用程序和系統(tǒng)，使客戶能夠有效地分析、可視化和將數(shù)據(jù)轉(zhuǎn)化為洞察力。NVIDIA的加速計算平臺是世界上許多最重要和增長最快的行業(yè)的核心。

1.?Unprecedented Acceleration at Every Scale

The NVIDIA A100 Tensor Core GPU delivers unprecedented acceleration at every scale for AI, data analytics, and HPC to tackle the world’s toughest computing challenges. As the engine of the NVIDIA data center platform, A100 can efficiently scale up to thousands of GPUs or, using new Multi-Instance GPU (MIG) technology, can be partitioned into seven isolated GPU instances to accelerate workloads of all sizes. A100’s third- generation Tensor Core technology now accelerates more levels of precision for diverse workloads, speeding time to insight as well as time to market.

2. SYSTEM SPECIFICATIONS (PEAK PERFORMANCE)

3. GROUNDBREAKING INNOVATIONS

The NVIDIA A100 Tensor Core GPU is the flagship product of the NVIDIA data center platform for deep learning, HPC, and data analytics. The platform accelerates over 700 HPC applications and every major deep learning framework. It’s available everywhere, from desktops to servers to cloud services, delivering both dramatic performance gains and cost-saving opportunities.

To learn more about the NVIDIA A100 Tensor Core GPU, visit?www.nvidia.com/a100

1 ?BERT pre-training throughput using Pytorch, including (2/3) Phase 1 and (1/3) Phase 2 | Phase 1 Seq Len = 128, Phase 2 Seq Len =
512 | V100: NVIDIA DGX-1TM server with 8x NVIDIA V100 Tensor Core GPU using FP32 precision | A100: NVIDIA DGXTM A100 server with 8x A100 using TF32 precision.

2 ?BERT large inference | NVIDIA T4 Tensor Core GPU: NVIDIA TensorRTTM (TRT) 7.1, precision = INT8, batch size 256 | V100: TRT 7.1, precision FP16, batch size 256 | A100 with 7 MIG instances of 1g.5gb; pre-production TRT, batch size 94, precision INT8 with sparsity.

3 ?V100 used is single V100 SXM2. A100 used is single A100 SXM4. AMBER based on PME-Cellulose, LAMMPS with Atomic Fluid LJ-2.5, FUN3D with dpw, Chroma with szscl21_24_128.

SPECIFICATIONS

* With sparsity
** SXM GPUs via HGX A100 server boards, PCIe GPUs via NVLink Bridge for up to 2-GPUs

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