Today NVIDIA unveiled the NVIDIA DGX A100 AI system, delivering 5 petaflops of AI performance and consolidating the power and capabilities of an entire data center into a single flexible platform..

The DGX A100, meanwhile, has the distinction of being the “fastest AI supercomputer” being used by the consortium, said Kimberly Powell, vice president of health care at NVIDIA, during a Wednesday ...

The M.2 and U.2 interfaces used by the DGX A100 each use 4 PCIe lanes, ... The US Department of Energy's Argonne National Lab is already using one DGX A100 for COVID-19 research.

The purpose of the DGX A100 is to accelerate hyperscale computing in data centers alongside servers. In fact, the United States Department of Energy’s Argonne National Laboratory is among the ...

As we wrote earlier, the DGX A100 should be immediately available and shipping worldwide, with the first customer being the U.S. Department of Energy’s (DOE) Argonne National Laboratory.

SANTA CLARA, Calif., May 14, 2020 (GLOBE NEWSWIRE) -- NVIDIA today unveiled NVIDIA DGX™ A100, the third generation of the world’s most advanced AI system, delivering 5 petaflops of AI ...

The company said that each DGX A100 system has eight Nvidia A100 Tensor Core graphics processing units (GPUs), delivering 5 petaflops of AI power, with 320GB in total GPU memory and 12.4TB per ...

The DGX A100 is NVIDIA’s third generation AI supercomputer.

For context, the DGX-1, a similar system with 8 V100s, cost around $150,000 at launch. That equates to a 33-percent generational price hike, but NVIDIA claims the A100 is 20 times faster at AI ...

NVIDIA's new DGX A100 supercomputer is now helping the fight against COVID-19, with Rick Stevens, associate laboratory director for Computing, Environment and Life Sciences at Argonne, explaining ...

DGX A100 systems have actually begun shipping already, with the first multi-system order going to the U.S. Department of Energy’s (DOE) Argonne National Laboratory.

Nvidia’s DGX A100 systems have already begun shipping, with some of the first applications including research into COVID-19 conducted at the US Argonne National Laboratory.