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’ ...

Features: High-performance computing is helping Space agencies and universities compress simulation cycles, train AI models faster, and enable more autonomous missions.

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 ...

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 ...

Space HPC opens at ESRIN (Italy) to process large volumes of data and satellite simulations, boosting European space research ...

Following on from the EuroHPC Joint Undertaking (EuroHPC JU) signed earlier this May, the government has opened up applications for public research organisations to host the UK’s artificial ...

A group of leading computational scientists, including University of Wyoming President Ed Seidel, is urging the United States to increase its investment in high-performance computing (HPC), a ...

This technology has helped make huge discoveries in science and engineering over the past 40 years. But now, high-performance computing is at a turning point, and the choices the government, ...

High-performance computing (HPC) refers to the use of supercomputers, server clusters and specialized processors to solve complex problems that exceed the capabilities of standard systems. HPC has ...

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 ...