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Solving Poker with Custom WebGPU

Quality: 8/10 Relevance: 9/10

Summary

A developer recounts building an in-browser poker solver using custom WebGPU kernels instead of relying on a tensor library. The post covers the CFR-based approach, the motivation to avoid large libraries, and how Codex helped generate efficient kernels, achieving significant speedups. The project is open-source and demonstrates that bespoke, verifiable kernels can outperform general-purpose libraries in specific tasks.

🚀 Service construit par Johan Denoyer