The Royal Institute of Technology (KTH) in Sweden has agreed to a partnership with AMD and HPE to supply a new HPC system
AMD today announced several senior leadership promotions in support of the company’s long-term growth goals
At this year’s SC20 virtual event AMD is showcasing the new AMD Instinct MI100 accelerator and highlighting a growing list of deployments in HPC and scientific research
AMD has announced that 2nd Gen AMD EPYC processor powered Amazon Elastic Compute Cloud (EC2) C5a instances are now available in the US Europe and Asia Pacific regions
AMD and Penguin Computing have donated systems totalling seven petaflops of compute power to researchers as part of the AMD HPC Fund for COVID-19 research.
Lawrence Livermore National Laboratory (LLNL) will get an upgrade to its Corona supercomputer through an agreement with Penguin Computing and AMD that is expected to nearly double the system’s peak compute power
AMD in collaboration with Lawrence Livermore National Laboratory (LLNL) and HPE, has announced that El Capitan, the upcoming exascale class supercomputer at LLNL, will deliver more than 2 exaflops of double-precision performance.
AMD highlighted historic leaps in computing, gaming and visualisation technologies expected in 2019 based on a combination of leading-edge 7nm technology
At SC18, AMD is showcasing the impact of AMD EPYC Processors and AMD Radeon Instinct GPU accelerators in the supercomputing industry with new customers and new products.
AMD has announced the availability of the first AMD EPYCTM processor-based instance on Oracle Cloud Infrastructure.
Gemma Church examines how simulation and modelling aid the increasingly diverse renewable energy field
Scientists have implemented automation and LIMS software to help pivot laboratory operations and provide services to better understand and prevent the spread of Covid-19
Sophia Ktori considers how software integration helps ensure scientists work efficiently in the laboratory
A team of international scientists, including Nasa researchers, are using deep learning to map trees and bushes in the drylands of West Africa and the southern Sahara desert
