1 link tagged with all of: apple + protein-folding + machine-learning + mlx
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This article discusses Apple's MLX framework, designed for efficient use of M-series chips in protein folding tasks. It highlights the advantages of unified memory architecture and provides a detailed example of adapting OpenFold3 code to work with MLX. The author shares performance results showing significant speed improvements compared to traditional setups.