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One rack, 7 exaflops, 35 labs now live in Europe
NVIDIA Vera Rubin is here. One rack, 7 exaflops of AI compute, 5 petaflops FP64. Thirty-five European labs have already deployed it, including three in the Nordics: CSC in Finland, Sigma2 in Norway, PDC in Sweden. Each rack replaces a small datacenter, cuts power by 40 percent, and runs the same workloads that used to need a TOP500 machine. The hardware is shipping now. Blackwell GPUs, NVLink 6, liquid-cooled chassis. The software stack is open: NVIDIA AI Enterprise 6.0, CUDA 13, and a new agent runtime called OpenShell that turns every RTX PC into a secure endpoint for local inference. Microsoft has already integrated Vera Rubin into its Copilot+ AI datacenters, and CoreWeave is offering spot instances on the same hardware. For Nordic builders this is a step-change. Startups can rent exascale-class compute by the hour. Universities can train 10-trillion-parameter models without waiting for a national supercomputer queue. Telcos are using the same rack to run AI-RAN workloads, turning 5G base stations into edge inference nodes. Singtel and NVIDIA just opened a joint facility in Singapore; the playbook is ready for Nordic carriers. Action this week: map your largest training or simulation workload to a Vera Rubin rack. If it fits, book a spot instance on CoreWeave or Azure. If it does not, look at SambaNova SN50 chips, same agentic stack, different silicon. Either way, the metal is no longer the bottleneck; the bottleneck is the pipeline you build on top of it.
researched · 6 sources
1 AugInfra & computereaches nearby
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