Nvidia's HGX H20 GPUs are seeing strong demand in China. The company expects to ship over one million HGX H20 GPUs to China, significantly more than Huawei's anticipated Ascend 910B AI processor ...

Credit: ServeTheHome. Nvidia has allegedly stopped taking orders for its China-specific HGX H20 GPUs used in AI and HPC applications, reports Cailian News Agency (CNA) citing a distributor source ...

Nvidia plans to launch a downgraded HGX H20 AI processor with reduced HBM memory capacity for China by July to comply with new U.S. export rules, if a new rumor is correct.

Nvidia’s H200 GPU for generative AI and LLMs has more memory capacity and bandwidth. Microsoft, Google, Amazon, and Oracle are already committed to buying them.

SAN DIEGO, May 13, 2025 (GLOBE NEWSWIRE) -- Cirrascale Cloud Services, a leading provider of tailored innovative cloud and managed solutions for AI and high-performance computing (HPC), today ...

NVIDIA’s AI computing platform got a big upgrade with the introduction of the NVIDIA HGX H200, which is based on the NVIDIA Hopper architecture. It features the NVIDIA H200 Tensor Core GPU that ...

Featuring the NVIDIA H200 GPU with 141GB of HBM3e memory. At the SC23 conference in Denver, Colorado, Nvidia unveiled the HGX H200, the world's leading AI computing platform, according to the company.

NVIDIA NVDA recently unveiled its most powerful graphics processing unit (GPU), NVIDIA HGX H200. Based on its Hopper architecture, this newly introduced GPU chip will be able to manage extensive ...

Nvidia Corp. today announced the introduction of the HGX H200 computing platform, a new powerful system that features the upcoming H200 Tensor Core graphics processing unit based on its Hopper archite ...

The Nvidia H200 GPUs are the first to feature 141GB of HBM3e memory, with a memory bandwidth of 4.8Tbps, nearly double the capacity of H100s and 1.4 times the memory bandwidth. “Cirrascale remains at ...

Generally available as of October 3 on the AI Innovation Cloud, the eight-way HGX H200 provides up to 32 petaflops of FP8 deep learning compute and more than 1.1TB of aggregate HMB3e memory.