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AI · bair.berkeley.edu · Thursday, 30 July 2026

K-Search Auto‑ports CUDA Kernels to Apple Silicon, Boosting MLX Speed

BAIR extends the K-Search evolutionary kernel optimizer with an MLX backend, letting it translate decades‑old CUDA kernels into high‑performance Apple Silicon kernels. The system matches expert‑level speeds on attention layers and delivers up to 20× faster prefill on Mamba SSM kernels, closing the performance gap for local Mac AI workloads.

Read the source: bair.berkeley.edu ↗In the 30 July issue →