Nvidia unveiled its Ampere graphics architecture and its most powerful computer yet: The DGX A100. Costing $199,000, this isn't a system made for gamers.

World’s Only Petascale Integrated AI Workgroup Server, Second-Gen DGX Station Packs Four NVIDIA A100 GPUs, Debuts with up to 320GB of GPU Memory to Bring AI into Offices and Labs SANTA CLARA ...

In addition to the two EPYC 7742 CPUs, the DGX A100 also packs 1TB of RAM, two 1.92TB of M.2 NVMe SSDs for OS and 15TB of internal storage from four U.2 NVMe (4x 3.84TB) drives, eight single-port ...

Nvidia DGX A100 system delivers five petaflops of performance with some EPYC sauce. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.

Nvidia had previously relied on Intel's Xeon processors to provide the CPU compute horsepower for its first two DGX systems, but that changed with the DGX A100, which sports two 64-core AMD EPYC ...

NVIDIA DGX™ A100 is the universal system for all AI workloads, offering unprecedented compute density, performance, and flexibility in the world’s first 5 petaFLOPS AI system. NVIDIA DGX A100 features ...

The first DGX systems were named DGX-1 and DGX-2 but it seems that NVIDIA won't be naming the Ampere-based system DGX-3 but rather DGX A100. If this is true, we now have the GA100 teased -- the ...

We don't know what else might be under the bonnet in a Nvidia DGX A100 'Ampere' deep learning system other than a number of the Tesla A100 processor cards, based on the GA100 GPU.

Immediately available, DGX A100 systems have begun shipping worldwide, with the first order going to the U.S. Department of Energy’ s Argonne National Laboratory, which will use the cluster’ s ...

An AI Supercomputer Anywhere While DGX Station A100 does not require data-center-grade power or cooling, it is a server-class system that features the same remote management capabilities as NVIDIA ...

The second generation of the groundbreaking AI system, DGX Station A100 accelerates demanding machine learning and data science workloads for teams working in corporate offices, research ...