Powered by the NVIDIA Ampere Architecture, A100 is the engine of the NVIDIA data center platform. A100 provides up to 20X higher performance over the prior generation and can be partitioned into seven GPU instances to dynamically adjust to shifting demands.

May 14, 2020 · Fabricated on the TSMC 7nm N7 manufacturing process, the NVIDIA Ampere architecture-based GA100 GPU that powers A100 includes 54.2 billion transistors with a die size of 826 mm2.

The new NVIDIA® A100 Tensor Core GPU builds upon the capabilities of the prior NVIDIA Tesla V100 GPU, adding many new features while delivering significantly faster performance for HPC, AI, and data analytics workloads. Powered by t he NVIDIA Ampere architecture- based

A100 delivers 312 teraFLOPS (TFLOPS) of deep learning performance. That’s 20X Tensor FLOPS for deep learning training and 20X Tensor TOPS for deep learning inference compared to NVIDIA VoltaTM GPUs.

Nov 16, 2020 · SC20— NVIDIA today unveiled the NVIDIA ® A100 80GB GPU — the latest innovation powering the NVIDIA HGX ™ AI supercomputing platform — with twice the memory of its predecessor, providing researchers and engineers unprecedented speed and performance to unlock the next wave of AI and scientific breakthroughs.

May 14, 2020 · New NVIDIA A100 GPU Boosts AI Training and Inference up to 20x; NVIDIA’s First Elastic, Multi-Instance GPU Unifies Data Analytics, Training and Inference; Adopted by World’s Top Cloud Providers and Server Makers.

ate workloads of all sizes. A100’s third-generation Tensor Core technology now accelerates more levels of precision for diverse workloads, speeding time to insigh.

May 14, 2020 · Designed to be the successor to the V100 accelerator, the A100 aims just as high, just as we’d expect from NVIDIA’s new flagship accelerator for compute. The leading Ampere part is built on...

May 14, 2020 · While Ampere will inevitably make its way into some of the best graphics cards and find a place on our GPU hierarchy, today's digital GTC announcement is only about the Nvidia A100, a GPU...

Pre-production TRT for A100, uses batch size 94 and INT8 with sparsity. All results are measured Except BerkeleyGW, V100 used is single V100 SXM2.