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.

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

Chinese AI company DeepSeek says its DeepSeek R1 model is as good, or better than OpenAI's new o1 says CEO: powered by 50,000 ...

Intel's opportunities to capitalize on the AI boom may be shrinking in the datacenter, Chipzilla still has a shot at the network edge and on the PC. Like most personal computer hardware makers, Intel ...

While Gaudi 3 was able to outperform the H100 ... BF16 and 3,958 TFLOPS for FP8. But even if the chipmaker can claim any advantage over the H100 or H200, Intel has to contend with the fact that ...

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 ...

High demand for Nvidia’s most powerful GPUs such as the H100 has resulted in shortages ... provide roughly 10.4 petaflops of peak FP16 or BF16 performance, offer 1.5TB of HBM3 and about 896 ...

The NVIDIA H100 is a cutting-edge graphics processing unit (GPU) designed to power the most advanced AI systems, enabling rapid training of large language models (LLMs) like OpenAI’s GPT-4.

According to Wang, DeepSeek is in possession of over 50,000 NVIDIA H100 chips, a massive haul that they are unable to openly discuss due to stringent US export controls.(REUTERS) In a recent chat ...