Breaking News
President Trump holds a bilateral meeting with Polish President Karol Nawrocki
Schiff, Johnson, Collum On Trump's Trade Wars
LIVE - RFK JR. TESTIFIES AT SENATE HEARING ON HEALTH
Is this as big an issue as I think it is?
Top Tech News
Neuroscientists just found a hidden protein switch in your brain that reverses aging and memory loss
NVIDIA just announced the T5000 robot brain microprocessor that can power TERMINATORS
Two-story family home was 3D-printed in just 18 hours
This Hypersonic Space Plane Will Fly From London to N.Y.C. in an Hour
Magnetic Fields Reshape the Movement of Sound Waves in a Stunning Discovery
There are studies that have shown that there is a peptide that can completely regenerate nerves
HERE COMES THE MOTHERSHIP
Swedish startup unveils Starlink alternative - that Musk can't switch off
Video Games At 30,000 Feet? Starlink's Airline Rollout Is Making It Reality
Grok 4 Vending Machine Win, Stealth Grok 4 coding Leading to Possible AGI with Grok 5
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.