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.
DeepSeek R1 model was trained on NVIDIA H800 AI GPUs, while inferencing was done on Chinese made chips from Huawei, the new ...
DeepSeek has beaten OpenAI on many metrics, become the number 1 app in the US, and caused NVIDIA's market cap to crash by ...
Nvidia Digits represents a significant leap forward in AI technology. By combining powerful hardware, a comprehensive ...
IGenius specializes in AI for enterprises working in highly regulated sectors, such as finance and public administration. The ...
On the technical side, Tokyo-1 – operated by Mitsui’s Xeureka subsidiary – will provide clients with access to 16 NVIDIA DGX H100 nodes supporting molecular dynamics simulations, large ...
DAVOS, SWITZERLAND — Scale AI CEO Alexandr Wang has ignited geopolitical tensions in the artificial intelligence sector by ...
NVIDIA Eos: the world's fastest AI supercomputer, 4608 x DGX H100 GPUs NVIDIA announces Eos: the world's fastest AI supercomputer with 576 DGX H100 systems and 4608 DGX H100 GPUs... there are no ...
Nvidia is constructing one of the largest server farms in Israel, close to the Elyakim Interchange near Yokne’am in the north ...