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PyTorch11 min read

From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon

Figure 1: CUDA-to-MLX optimization translation map. CUDA optimization knowledge can be translated into architecture-native MLX strategies rather than copied instruction-for-instruction. We face a new epoch in computing.

By C.K. WolfeBerkeley AI (BAIR)
From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon

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Originally published by Berkeley AI (BAIR) on Jul 29, 2026.

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