This article originally appeared on our sister site datacenterdynamics.com. Read more from DCD. French telecoms company Iliad has purchased an Nvidia DGX SuperPOD with 1,016 H100 GPUs.

Its first NVIDIA DGX SuperPOD H100 system combines NVIDIA's top hardware, software, and networking technology to offer a scalable, efficient, and easily deployable solution.

DGX GB300 systems feature Nvidia Grace Blackwell Ultra Superchips — which include 36 Nvidia Grace CPUs and 72 Nvidia Blackwell Ultra GPUs — and a rack-scale, liquid-cooled architecture ...

The supercomputer is build on Nvidia DGX SuperPod reference architecture and consists of 31 DGX H100 servers, containing a total of 248 H100 Tensor Core GPUs. While Fastweb has not confirmed the ...

So Gefion is based on the DGX SuperPOD system from Nvidia. We're using the H100 chip from Nvidia, and that is designed for AI workloads specifically.

The listing priced the H100 Purse at $65,536, adding quite a premium on Nvidia’s Hopper GPU. Although it does not have over a 50x price increase with the GT 730 GPU Purse, it’s still over ...

This marks the third deployment of a NVIDIA DGX SuperPOD by DeepL and offers more processing power than DeepL Mercury, a Top500 supercomputer — DeepL’s previous flagship NVIDIA DGX SuperPOD with DGX ...

Nvidia (NASDAQ:NVDA) shares rose 1% in premarket trading on Monday as Wells Fargo called media reports that the semiconductor giant will price its DGX B200 systems at $500,000 or more as an ...

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.

The power is yours Nvidia announces DGX desktop “personal AI supercomputers” Asus, Dell, HP, and others to produce powerful desktop machines that run AI models locally.