The DGX B200 systems – used in Nvidia's Nyx supercomputer – boast about 2.27x higher peak floating point performance across FP8, FP16, BF16, and TF32 precisions than last gen's H100 systems.

For enterprises that don’t want to spend $7 million to $60 million for Nvidia’s DGX SuperPOD AI supercomputer, the chipmaker is now giving customers the option of paying $90,000 a month for ...

It'll also support PCIe Gen 7 and the fourth generation of Nvidia NVLink.” Also new are the first systems to feature the Hopper architecture, the Nvidia DGX H100 ... create a super chip by ...

NVIDIA DRIVE DGX optimizes deep learning computations in the cloud. See H100. THIS DEFINITION IS FOR PERSONAL USE ONLY. All other reproduction requires permission.

Frank Holmes, HIVE's Executive Chairman, stated, "The deployment of our NVIDIA H100 and H200 GPU clusters represents a key progressive step in our HPC strategy and a notable evolution in our ...