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[ARTICLE · art-18296] src=xcancel.com pub= topic=artificial-intelligence verified=true sentiment=↑ positive

SpaceX has almost finished writing v1.0 of an in-house AI training stack in C

SpaceX has nearly completed version 1.0 of a proprietary AI training stack written in C, designed to exact-map to 220,000 GB300 processors with 800G network interface cards. The system, which leverages heavy pipeline parallelism for near-bare-metal performance, promises over an order of magnitude speed improvement over JAX for large-scale training runs.

read1 min publishedMay 30, 2026

SpaceX has almost finished writing V1.0 of an in-house AI training stack in C that exact-maps to 220k GB300s with 800G NICs, making heavy use of pipeline parallelism and getting as close to bare metal as possible. The potential speed improvement vs JAX for large training runs is over an order of magnitude.

May 28, 2026 · 6:27 AM UTC

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