Supermicro Extends 8-GPU, 4-GPU, and MGX Product Lines with Support for the NVIDIA HGX H200 and Grace Hopper Superchip for LLM Applications with Faster and Larger HBM3e Memory – New Innovative ...

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 ...

Cirrascale Cloud Services has added Nvidia HGX H200 servers to its AI Innovation Cloud. The H200 servers platform is available in the form of integrated baseboards in eight Nvidia H200 Tensor Core GPU ...

The MarketWatch News Department was not involved in the creation of this content. ASUS AI POD built on the NVIDIA GB300 NVL72 platform and latest AI Servers XA NB3I-E12 accelerated by the NVIDIA HGX ...

Liquid Cooled Large Scale AI Training Infrastructure Delivered as a Total Rack Integrated Solution to Accelerate Deployment, Increase Performance, and Reduce Total Cost to the Environment SAN JOSE, ...

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 can ...

ST. LOUIS, Nov. 17, 2025 /PRNewswire/ -- As generative AI and high-performance computing (HPC) workloads continue to surge, data-center architecture is entering a new phase of transformation. Compal ...

Foxconn has secured a major order of chip substrates for Nvidia’s HGX AI servers, supplying over 50% of Nvidia’s total demand, according to an August 14 report by Chinese tech news site IT Home.

Artificial intelligence is entering a new era driven by larger models and more demanding workloads. The Supermicro B300 AI Server with NVIDIA Blackwell HGX B300 NVL8 delivers the performance and ...

NVIDIA’s AI Enterprise software shown at Supercomputing ‘23 connects accelerated computing to large language model use cases. At the Supercomputing ‘23 conference in Denver on Nov. 13, NVIDIA ...

Nvidia has teamed up with Microsoft to create a new GPU-centric server with flexible interconnects and up to eight GPUs per system. Share on Facebook (opens in a new window) Share on X (opens in a new ...