Breaking News
RFK Jr. advances to full Senate vote to be HHS secretary
I've Never Seen Anything Like It! (Spent The Day Reading The 'USAID' Payments Log - WTF
Sitting down? The US Mint's new 'J6 coin' will make your blood boil…
Turns out the 'Deep State' used USAID to OUST Bolsonaro from Brazil…
Top Tech News
Retro Spaceplane aces test for space station cargo missions
Old civilizations weren't destroyed by accident.
Helion has $1 billion and 3 years to figure out fusion-powered energy
Electric spacecraft propulsion may soon take a leap, thanks to new supercomputer
'Son of Concorde' supersonic jet breaks sound barrier... here's how long it'll take
Self-balancing, omnidirectional bike with balls for wheels
$120 Raspberry Pi5 Can Run 14 Billion Parameter LLM Models … Slowly
Super Sub thrills with high speed, sharp turns and steep climbs
23 airports controlled from one locale as small airfields meet the future
Affordable housing project was 3D printed in just 12 days
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.