San Francisco : MLCommons, a group that develops benchmark tests for artificial intelligence (AI) technology, on Tuesday unveiled results for a new test that determines system speeds when training algorithms used for chatbots like ChatGPT - and Nvidia came out on top.The MLPerf benchmark is based on GPT-3
San Francisco : MLCommons, a group that develops benchmark tests for artificial intelligence technology, on Tuesday unveiled results for a new test that determines system speeds when training algorithms used for chatbots like ChatGPT - and Nvidia came out on top.
"This was our most expensive benchmark so far," MLCommons Executive Director David Kanter told Reuters."We spent over 600K hours of accelerator compute time to develop it, plus some fantastically talented engineers."Only two chip firms - Nvidia and Intel's Habana Labs - submitted results for the benchmark, with the fastest time coming from systems using the latest H100 chip from Nvidia, the uncontested leader in hardware for training AI.
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