The A100 SXM chip, on the other hand, requires Nvidia’s HGX server board, which was custom-designed to support maximum scalability and serves as the basis for the chipmaker’s flagship DGX A100 ...

'By having one infrastructure that can be both used for training at scale as well as inference for scale out at the same time, it not only protects the investment, but it makes it future-proof as ...

By comparison, Nvidia's densest HGX/DGX A100 systems top out at eight GPUs per box, and manage just under 2.5 petaFLOPS of dense FP16 performance, making the Blackhole Galaxy nearly 4.8x faster.

Supermicro now offers the industry's widest and deepest selection of GPU systems with the new NVIDIA HGX A100™ 8-GPU server to power applications from the Edge to the cloud. The entire portfolio ...

For security reasons, administrators of AI infrastructure with Nvidia hardware should update the HGX software to the latest version. If this is not done, attackers can use two vulnerabilities for ...

The breadth of Supermicro's systems includes the flagship Intel-based SYS-420GP-TNAR or the AMD-based AS -4124GO-NART(+), featuring the 4U Server powered by the NVIDIA HGX A100 8-GPU board ...

Athos Therapeutics’ decision to go niche with a GPU-as-a-service from upstart Vultr could point the way forward for similar organizations with specialized AI needs.