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.

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 ...

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 ...

Nvidia's GPUs remain the best solutions for AI training, but Huawei's own processors can be used for inference.

We put this question to Nvidia and were told "the supercomputer used for MLPerf LLM training with 10,752 H100 GPUs is a different system built with the same DGX SuperPOD architecture." ...

DeepSeek has beaten OpenAI on many metrics, become the number 1 app in the US, and caused NVIDIA's market cap to crash by over $300 billion, but there might be more to its story than ...

The Trump administration is mulling expanding restrictions on Nvidia's product sales to China despite export controls failing ...

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.

Huawei Chairman Howard Liang announced that 2024 revenue exceeded CNY860 billion (approx. US$118.6 billion) at the Guangdong ...

NVIDIA's role in ... These included the DGX Cloud AI supercomputing service, the AI Foundations services for custom generative AI applications, the L4 and H100 NVL specialized GPUs, and the ...