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 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.

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 ...

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 ...

DeepSeek AI's covert use of Nvidia's powerful H100 chips has ignited controversy within the tech industry. The startup is said to be using 50,000 Nvidia H100 GPUs, despite US export restrictions ...

TL;DR: DeepSeek, a Chinese AI lab, utilizes tens of thousands of NVIDIA H100 AI GPUs, positioning its R1 model as a top competitor against leading AI models like OpenAI's o1 and Meta's Llama.

The Pure Storage GenAI Pod is expected to be generally available in the first half of 2025. Pure Storage FlashBlade//S500 now certified with NVIDIA DGX SuperPod Enterprises deploying large-scale ...