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.

With the introduction of the fourth-generation DGX H100 System, Nvidia showcases its commitment to pushing the boundaries of AI capabilities, promising unparalleled performance and efficiency.

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

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 ...

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

DeepSeek has beaten OpenAI on many metrics, become the number 1 app in the US, and caused NVIDIA's market cap to crash by ...

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

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 ...