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Sixteen JAX devices on a CPU, and one gradient bug worth finding

This story is from 2026-10-26. It is preserved in the archive; the latest stories are on the live feed.

My favorite use for a pretend cluster is a real correctness failure. Here, replacing an average with a sum makes the gradient 16 times larger , even though every shard computes a perfectly sensible local loss. 🐛 Rishiraj Acharya's new Jaxotron walkthrough shows how to expose logical CPU devices to…

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  1. 2026-10-26 15:20 · DEV Community — Machine Learning
    Sixteen JAX devices on a CPU, and one gradient bug worth finding

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