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.

Technical analysis reveals a near-term downtrend, weak EMAs, and bearish indicators, suggesting further potential declines.

Learn about the capabilities of NVIDIA’s Fugatto, an AI audio generator that can combine free-form instructions to create complex soundscapes and transform audio in ways previously unimaginable.

On the technical side, Tokyo-1 – operated by Mitsui’s Xeureka subsidiary – will provide clients with access to 16 NVIDIA DGX H100 nodes supporting molecular dynamics simulations, large ...

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 ...

The Nvidia DGX Cloud AI computing platform is now available via Amazon Web Services (AWS) Marketplace Private Offers. Announced during the AWS Re:Invent 2024 conference, Nvidia's CUDA-Q has also been ...

Nvidia established a well-rounded ecosystem via NVLink, and the technology's scalability on systems become the development ...

SemiAnalysis pitted AMD's Instinct MI300X against Nvidia's H100 and H200, observing several differences between the chips.