Nvidia has launched its 80GB version of the A100 graphics processing unit (GPU), targeting the graphics and AI chip at supercomputing applications. The chip is based on the company's Ampere graphics ...

The team at xAI, partnering with Supermicro and NVIDIA, is building the largest liquid-cooled GPU cluster deployment in the world. It’s a massive AI supercomputer that encompasses over 100,000 NVIDIA ...

Buildout of the 44 petaflops Kestrel supercomputer is now fully complete, and available for use. Located at the National Renewable Energy Laboratory (NREL) Energy Systems Integration Facility (ESIF) ...

Nvidia (NASDAQ:NVDA) Hewlett Packard Enterprise (NYSE:HPE) are partnering with Germany’s Leibniz Supercomputing Centre to build a new supercomputer. Nvidia said the supercomputer called Blue Lion is ...

Unexpected alliance: Elon Musk’s SpaceXAI will provide Anthropic with access to its Colossus 1 supercomputer, despite his prior public attacks on the company’s AI. Massive compute boost: The ...

Right or wrong, we still believe that we live in a world where traditional HPC simulation and modeling at high precision matters more than mashing up the sum total of human knowledge and mixing with ...

London-based AI cloud platform Fluidstack and Eclairion, a French maker of modular, high-density data centers, have partnered to build what the companies said is Europe’s largest GPU supercomputer ...

AI firm PanaAI and Junee have partnered up to build an AI supercomputer in Australia. Dubbed PanaAI AUS AISF, the supercomputer will comprise up to 4,088 Nvidia H200 Tensor Core GPUs and be ...

NVIDIA is touting its personal AI supercomputers that CEO Jensen Huang calls a “new class of computers.” During the NVIDIA GTC conference in San Jose, CA, the GPU giant announced two small ...

The world’s fourth exascale supercomputer has arrived, pitting Nvidia’s proprietary chip technologies against the x86 systems that have dominated supercomputing for decades. For the 66th edition of ...

High-performance supercomputing—once the exclusive domain of scientific research—is now a strategic resource for training increasingly complex artificial intelligence models. This convergence of AI ...

While GPU-accelerated AI dominates headlines, CPUs remain an optimal choice for many scientific and engineering workloads. In partnership withMicrosoft Azure and AMD In Seattle, a meteorologist ...