AMD making big gains on Nvidia in AI chips: research
evaluated the AMD MI250 and the Nvidia A100, both of which are one generation behind each company’s flagship chips but are still in high demand.
MosaicML found AMD’s chip could get 80% of the performance of Nvidia’s chip, thanks largely to a new version of AMD software released late last year and a new version of open-source software backed by Meta Platforms called PyTorch that was released in March. Hanlin Tang, chief technology officer of MosaicML, said that the company believes that further software updates from AMD that are in the works should help its MI250 chip match the performance of Nvidia’s A100.
“For most [machine learning] chip companies out there, the software is the Achilles heel of it,” Tang said, adding that AMD had not paid MosaicML to conduct its research. “Where AMD has done really well is on the software side.”Tang said that MosaicML used its tools, the PyTorch and AMD software to train a large language model without having to make any changes to its code base.
MosaicML sells software that makes it easier for companies to create AI systems inside their own data centres rather than paying for access to those systems from providers like ChatGPT creator OpenAI. The company said it conducted the research to illustrate that its customers have chip options beyond Nvidia.
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