With cutting-edge AI hardware and advanced cooling, the ASUS AI POD is finally ready for production - and ASUS is looking for ...

DGX Cloud instances with Nvidia’s newer H100 GPUs will arrive at some point in the future with a different monthly price. While Nvidia plans to offer an attractive compensation model for DGX ...

The NVIDIA DGX POD TM brings together a combination of DGX servers, storage and integrated high speed network switches into a powerful rack mounted system. Take the guesswork out of your design for a ...

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.

These DGX systems, each of which contain eight H100 GPUs, are connected together using Nvidia’s ultra-low latency InfiniBand networking technology and managed by Equinix’s managed services ...

Labs are secured to WWT customers and partners. Login to access. The NVIDIA DGX H100 environment includes 4x NVIDIA DGX H100 systems, three different 400GbE Ethernet fabrics (Arista, Cisco and NVIDIA) ...

The Eos supercomputer is built with 576 Nvidia DGX H100 systems, Nvidia Quantum-2 InfiniBand networking, plus software, and is capable of delivering a whopping 18.4 exaflops of FP8 AI performance.

announced today that it has received certification for an NVIDIA DGX BasePOD™ reference architecture built on NVIDIA DGX H100 systems and the WEKA Data® Platform. This rack-dense architecture delivers ...

In terms of computing power, it should be in no way inferior to previous DGX systems, which have to be plugged into server cabinets in data centers: Nvidia promises that AI models with 200 billion ...