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.

NVIDIA is probing how restricted H100 chips are ending up in China. Allegations of forged serial numbers and questionable ...

Fugatto’s creation was a monumental undertaking. Its 2.5 billion parameters were trained on NVIDIA DGX systems using 32 H100 ...

HIVE Digital Technologies (NASDAQ:HIVE) announces a $30 million investment in NVIDIA (NASDAQ:NVDA) GPU clusters in Quebec, comprising 248 H100 GPUs and 508 H200 GPUs. The H100 cluster will be ...

Driven by 2.5 billion parameters, Fugatto was created on Nvidia's DGX systemswhich have 32 H100 Tensor Core GPUs. The business observed that developing the model consumed more than a year of effort.

While announcing the DGX A100 GPU after acquiring Mellanox, Nvidia CEO Jensen Huang said this while explaining its importance to his company: “If you take a look at the way modern data centers ...

Fugatto, powered by a 2.5-billion-parameter generative transformer, was trained on Nvidia DGX systems with 32 H100 Tensor Core GPUs. Its development involved a diverse team spanning several ...

The DGX Cloud platform currently provides access to Nvidia’s most powerful GPUs, the Nvidia H100 and H200, and will soon be expanded to include the next-generation Blackwell GPUs, slated to ...