AI Agents Crack CUDA Kernels: Claude and Codex Target H100 Speedups
Custom CUDA kernels routinely double inference speeds on H100s. Now Claude and Codex spit them out end-to-end, bindings and benchmarks included.
⚡ Key Takeaways
- Claude/Codex agents generate full CUDA kernel projects with benchmarks for H100+.
- Fills gap between Kernel Hub and authorship, targeting transformers/diffusers.
- Potential 2x+ speedups; democratizes GPU optimization like AutoML did models.
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Originally reported by Hugging Face Blog
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