Oak Ridge National Laboratory's Frontier supercomputer is one of the world's fastest. Oak Ridge Leadership Computing Facility, CC BY This technology has helped make huge discoveries in science and ...

A computer that can calculate hundreds of scientific tasks simultaneously and thus helps provide a solution to key social challenges: this is the new IT heart of Paderborn University. The ‘Otus’ ...

At Argonne National Laboratory, researchers are trading in old-school approximations for raw supercomputing power, ...

Located at CeSViMa in Madrid, the Magerit high-performance computing system allows scientists to run complex simulations across aerospace and environmental research.

Equinix (EQIX) and Lenovo to provide digital foundation for Merck KGaA, Darmstadt, Germany— from accelerating drug discovery to pioneering new materials for next-generation semiconductor chips ...

High Performance Computing (HPC) has evolved into a cornerstone of modern scientific and technological endeavours, enabling researchers to tackle computational problems at scales that were once ...

First announced in April 2022, Ascend comprises of Dell PowerEdge servers, 48 AMD EPYC CPUs, and 96 Nvidia A100 80GB Tensor Core GPUs with Nvidia NVLink, and connected by the NVIDIA Quantum 200 Gbps ...

High-performance computing performance analysis is an interdisciplinary field that addresses the evaluation and optimisation of computational systems operating at scale. As modern processors ...

In a nutshell: In his keynote at ISC 2025, AMD CTO Mark Papermaster emphasized that the next wave of supercomputers will demand breakthroughs in efficiency, reliability, and adaptability, not just raw ...

You may have heard of quantum computing, but what is it, and what problems can it solve? Plus, what makes quantum computing different from classical computing, and how can enterprises access and ...

Nvidia unveils new GPU-based platform to fuel generative AI performance The new Nvidia HGX H200 has been designed to support the high performance computing workloads required to train generative AI ...