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 ...
Hosted on MSN2mon
Nvidia's MLPerf submission shows B200 offers up to 2.2x training performance of H100The 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.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback