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Getting the V100 tensor cores back from Triton

A lot of serious GPU capacity still sits in V100s: university clusters, second-hand servers, cloud instances priced down. They have tensor cores. Triton, on that architecture, does not use them. This post is about how nbxtensor — the tensor library under NeuroBrix's Triton engine — turns them back…

Read the full story at DEV Community — Machine Learning ↗

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  1. 2026-11-09 18:00 · DEV Community — Machine Learning
    Getting the V100 tensor cores back from Triton

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