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Scientists are training a gargantuan one-trillion-parameter generative AI system dubbed 'ScienceGPT' based on scientific data from the newly established Aurora supercomputer.
The AuroraGPT AI model, which is being trained by researchers at the Argonne National Lab (ALN) in Illinois, USA, is powered by Intel's Ponte Vecchio GPUs which provide the main computing power, and is being backed by the US government.
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“It combines all the text, codes, specific scientific results, papers, into the model that science can use to speed up research,” said Ogi Brkic, vice president and general manager for data center and HPC solutions, in a press briefing.
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Aurora – which will be the second exascale supercomputer in US history – has just established itself on the Top500 list of the most powerful supercomputers after years of being developed.
It's the second-most powerful supercomputer after Froniter, and is powered by 60,000 Intel GPUs while boating 10,000 computing nodes over 166 racks, alongside more than 80,000 networking nodes.
It is still being finished, however, and will likely exceed Frontier's performance when it's fully up to speed, and all testing and finetuning is complete, said Top500.
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