Winning MLPerf Inference 0.7 with a Full-Stack Approach – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-04-01T21:14:57Z http://www.open-lab.net/blog/feed/ Dave Salvator <![CDATA[Winning MLPerf Inference 0.7 with a Full-Stack Approach]]> http://www.open-lab.net/blog/?p=21799 2023-07-05T19:35:26Z 2020-10-21T17:09:36Z Three trends continue to drive the AI inference market for both training and inference: growing data sets, increasingly complex and diverse networks, and...]]> Three trends continue to drive the AI inference market for both training and inference: growing data sets, increasingly complex and diverse networks, and...

Three trends continue to drive the AI inference market for both training and inference: growing data sets, increasingly complex and diverse networks, and real-time AI services. MLPerf Inference 0.7, the most recent version of the industry-standard AI benchmark, addresses these three trends, giving developers and organizations useful data to inform platform choices, both in the datacenter and at��

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