Breaking News
Ukrainian Capital Burning After Heavy Russian Cruise Missile Strikes
Elon Musk: Donald Trump should be impeached - UPDATED
The Last Great Thing Boeing Made? | Full Documentary
Labor Net Zero obsession: Australians don't know they're spending $12,000 million dollars a
Top Tech News
Hydrogen Gas Blend Will Reduce Power Plant's Emissions by 75% - as it Helps Power 6 States
The Rise & Fall of Dome Houses: Buckminster Fuller's Geodesic Domes & Dymaxion
New AI data centers will use the same electricity as 2 million homes
Is All of This Self-Monitoring Making Us Paranoid?
Cavorite X7 makes history with first fan-in-wing transition flight
Laser-powered fusion experiment more than doubles its power output
Watch: Jetson's One Aircraft Just Competed in the First eVTOL Race
Cab-less truck glider leaps autonomously between road and rail
Can Tesla DOJO Chips Pass Nvidia GPUs?
Iron-fortified lumber could be a greener alternative to steel beams
Argonne National Lab Polaris Pre-Exascale Supercomputer
U.S. Department of Energy's Argonne National Laboratory and Hewlett Packard Enterprise (NYSE: HPE) unveiled a new testbed supercomputer to prepare critical workloads for future exascale systems that will deliver up to four times faster performance than Argonne's current supercomputers.
Polaris will enable scientists and developers to test and optimize software codes and applications to tackle a range of artificial intelligence (AI), engineering and scientific projects planned for the forthcoming exascale supercomputer, Aurora, a joint collaboration between Argonne, Intel and HPE.
The $500+ million Exaflop Aurora was planned for 2021 but it has been delayed until 2022-2023. Aurora has been delayed waiting for Intel's Sapphire Rapids server chips. The first plan was for a 180 petaflop Aurora for 2018 but delays in earlier Intel chips caused the need for a new plan.
Polaris will deliver approximately 44 petaflops of peak double precision performance and nearly 1.4 exaflops of theoretical AI performance, which is based on mixed-precision compute capabilities. Polaris 1.4 AI ExaFLOPS does not use standard FP64 (64 bit floating point) for standard supercomputer performance metrics.