Stuart is a CS PhD student at Stanford and researcher at Cursor where he trains the Composer model. He developed Parallel Kittens, a CUDA framework for multi-GPU kernels, and Thunder Kittens for single-GPU kernels.
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Cursor's adoption of Parallel Kittens at massive scale (tens of thousands of Blackwell GPUs) validates the framework's production readiness and signals strong demand for multi-GPU kernel optimization tools.
Together AI's adoption of Parallel Kittens for inference optimization demonstrates the framework's applicability beyond training to production inference serving.