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oMLX 0.7.4 adds prefill accelerator using a second Mac for large models

The oMLX project released version 0.7.4.dev1, a development build that lets a second Mac with a faster GPU accelerate the prefill stage for large models that only fit on a high-memory Mac. The project reports prefill throughput improvements of 43-48% for DeepSeek V4.1 on an M5 Ultra and 16% faster batched decode for Qwen3.8-27B on an M5 Max. New TTS models Ming-3.0-tts and Ming-3.0 Tiny show…

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Key points

  • Prefill accelerator pairs a fast-GPU Mac with a high-memory Mac over Thunderbolt or 5GbE
  • DeepSeek V4.1 prefill 43-48% faster on M5 Ultra; Qwen3.8-27B batched decode +16% on M5 Max
  • New TTS models Ming-3.0-tts and Tiny cut real-time factor by 52% and 68%

Model pages: GLM 5.3 → · LFM3 →

Full story from github.com · via Reddit AI communities primary sourceOpen source ↗

oMLX 0.7.4 can pair a fast mac as prefill accelerator

github.com · 4 November 2026

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oMLXDeepSeek V4.1Qwen3.8 Flash-NextGLM-5.3Ming-3.0-ttsMing-3.0 TinyLFM3junmo-kimqoliyohann-bearzialan13367scaryrawrianderse

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