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Berkeley AI Research extended its K-Search framework with a CUDA-to-MLX translation layer, enabling automatic transfer of GPU kernel optimization expertise to Apple Silicon. The approach achieves near-expert performance, reaching 0.97x speedup versus native MLX Attention and up to 20x prefill speedup on the Mamba SSM kernel.
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