Latest supercomputer publications
The University of Florida will soon house academia’s most powerful AI supercomputer following an agreement with chipmaker Nvidia to revamp its HiPerGator system with Nvidia’s latest HPC technology.
Nvidia claimed HiPerGator will deliver 700 petaflops of AI performance once it has been upgraded with the chipmaker’s latest DGX SuperPOD architecture — the tech behind Nvidia’s own supercomputer, Selene, which ranks seventh in Top500’s global supercomputer rankings.
ETH Zurich in Switzerland is one of the most highly regarded science and technology universities, one known for its cutting-edge research and innovation.
When it come to data centres, the pinnacle of innovation right now centres on how data analytics, sensors and AI can be used to improve power and performance.
Over the last few years, a group of researchers from both ETH Zurich and the University of Bologna has been at the forefront of advanced data centre monitoring research.
The US Department of Energy’s (DoE) upcoming El Capitan supercomputer will be capable of 2 exaflops of computing performance, making it more powerful than the top 200 fastest supercomputers combined.
The record-breaking supercomputer, which is expected to be delivered in early 2023 and will be located at the Lawrence Livermore National Laboratory (LLNL) in California, will be used by the DoE’s National Nuclear Security Administration to advance America’s nuclear security missions.
As the UK battles extreme weather conditions for the second week running, the Met Office has revealed plans to build the world’s most powerful weather and climate supercomputer.
The country’s national weather service announced it will spend £1.2 billion over 10 years building the supercomputer, which will replace the Cray XC40 system built for £97 million in 2014.
The new supercomputer will be deployed to improve rainfall predictions and airport forecasting. Data collected by the system will be used to more accurately predict storms, identify effective flood defence locations and predict changes to the global climate.
Nvidia has unveiled an AI supercomputer the size of a credit card for edge computing devices.
Dubbed Xavier NX, the diminutive device delivers performance of up to 21 TOPs and can consume as little as 10 watts of power when running modern AI workloads.
Nvidia claimed the micro module is the “world’s smallest, most powerful AI supercomputer” for devices at the edge.
The supercomputer will serve high-performance applications constrained by size and weight, such as small commercial robots drones, or high-resolution industrial IoT sensors.