Apple · ML Research

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Local and Distributed Large LLM Inference with MLX and RDMA on Mac Studio

Local and Distributed Large LLM Inference with MLX and RDMA on Mac Studio

二〇二六年十月十六日 · 英文原文

MLX on Mac with Apple silicon lets AI researchers and developers experiment locally with the latest models and methods in a private environment. The open-source array framework leverages the unified memory architecture of Apple silicon, enabling anyone to run new inference and…

MLX on Mac with Apple silicon lets AI researchers and developers experiment locally with the latest models and methods in a private environment. The open-source array framework leverages the unified memory architecture of Apple silicon, enabling anyone to run new inference and fine-tuning methods on their own hardware and explore other AI techniques. In a previous post , we highlighted the advantages of the M5 architecture and its GPU Neural Accelerators.

译自 Apple · ML Research · 录于 二〇二六年十月十六日