Good article about local LLM on MacBook Air
The author of the article switched to Ollama's new MLX engine for running local LLMs on their MacBook Air and noticed significant performance improvements. The new engine makes better use of Apple Silicon and unified memory architecture, reducing unnecessary memory movement during inference. The author's overall experience with local LLMs on their Mac has improved, with faster inference and more responsive performance.
- ▪Ollama's new MLX engine improves performance for local LLMs on Macs by making better use of Apple Silicon and unified memory architecture.
- ▪The updated engine reduces inference overhead and improves GPU-backed sampling, allowing for faster token generation.
- ▪The author noticed a significant improvement in performance, with inference speeds almost twice as fast as before.
Opening excerpt (first ~120 words) tap to expand
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Excerpt limited to ~120 words for fair-use compliance. The full article is at XDA.
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