---
format: "aidr-story-markdown/v1"
id: "a80ac8068cf5aba129cce427a0c39c85407534c6c1637e95a52f2e6d9a18b64d"
canonical_url: "https://aidr.today/a80ac806?lang=en"
title: "Local and Distributed Large LLM Inference with MLX and RDMA on Mac Studio"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-10-15T00:00:00.000Z"
category: "Frameworks"
topics: ["inference","framework"]
source_urls: ["https://machinelearning.apple.com/research/mlx-distributed-inference"]
summary: "Local and distributed inference for large language models such as Muse Spark Open can be performed using MLX and RDMA over Thunderbolt 5 on Mac Studio with M5 Ultra."
---

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

> [Open the canonical story](<https://aidr.today/a80ac806?lang=en>)

**Published:** 2026-10-15T00:00:00.000Z
**Category:** Frameworks
**Topics:** inference, framework

## Summary

Local and distributed inference for large language models such as Muse Spark Open can be performed using MLX and RDMA over Thunderbolt 5 on Mac Studio with M5 Ultra\.

## Sources

- [Story source](<https://machinelearning.apple.com/research/mlx-distributed-inference>)