Supercomputing is dividing into two categories: publicly funded exascale systems, which are ranked based on TOP500/HPL FLOPS, and AI campuses constructed by hyperscalers, which are assessed by their megawatt-gigawatt capacity.
Supercomputing is dividing into two categories: publicly funded exascale systems, which are ranked based on TOP500/HPL FLOPS, and AI campuses constructed by hyperscalers, which are assessed by their megawatt-gigawatt capacity.
After the AI Rush, Can Data Centers Reclaim Sustainability?. 9 Min Read. Hyperscale growth is forcing a new balance between capacity, cost,…
A proposal to set up a data center at a site leased by Nvidia in San Jose, California, is facing an appeal…
[embedded content]. Emma Strutton speaks with Hiren Lad of Eaton on AI-enabled digital data center management, real-time monitoring, and integrated solutions that…
