AnalysisTutorial / explainerLarge Language Models · Efficiency & Inference · Hardware & Compute14 sources · Oct 17, 2026

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

In this post, we show how to run the latest frontier-class model — Muse Spark Open, with nearly a trillion parameters — right from your desk, using the latest version of MLX, released today.

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Key points

  • Local and Distributed Large LLM Inference with MLX and RDMA on Mac Studio
  • Following Muse Glimmer, Muse Spark Open introduces a mixture-of-experts architecture at a much larger scale, and the most capable US open-weights model to date.
  • Meta launches Muse Spark Open, a coding-optimized 816B mixture-of-experts (MoE) model with 42B active parameters and a 1M token context window.
  • A version of Muse Spark Open was released today, fulfilling their original promise but with a model weaker than their Spark 1.3.

Sources (14)

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