Nvidia said it chose AMD's latest EPYC server processors over Intel Xeon for the chipmaker's new DGX A100 deep learning system because it needed to squeeze as much juice as possible from its new ...

Shell: Accelerating Upstream Activities With NVIDIA AI Shell's utilization of NVIDIA DGX A100 systems, based on NVIDIA A100 Tensor Core GPUs, for seismic processing enhances its capability to ...

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.

With 16,000 GPUs to support its ‘metaverse’ aspirations, Meta’s new AI Research SuperCluster will consist of 2,000 Nvidia DGX A100 systems, which will make it the ‘largest customer ...