Published

Technology and Science31 March, 20261 min read

Ollama Integrates Apple's MLX Framework, Boosts Performance on Apple Silicon Macs

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Ollama integrates Apple's MLX framework on Apple Silicon to accelerate local AI models. MLX enables unified memory usage, boosting LLM processing speed on Macs.

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Ollama Integrates Apple's MLX Framework, Boosts Performance on Apple Silicon Macs
Image: The New Stack

MLX Integration

Ollama integrated Apple’s MLX framework to boost performance on Apple Silicon Macs. The update allows Ollama to take advantage of unified memory and GPU Neural Accelerators. The update supports running the 35-billion-parameter variant of Alibaba’s Qwen3.5 model.

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Caching and Compression

Ollama 0.19 improves caching by reusing cache across conversations. The update adds support for Nvidia’s NVFP4 compression format. These enhancements aim to make local models more practical.

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Hardware Requirements

Running the preview requires at least 32GB of unified memory. This could limit accessibility for many users. Ollama is working to support additional models in future updates.

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Implications

Ollama exemplifies the growing viability of local AI model execution.

The update positions Apple Silicon Macs as capable for AI development.

Image from iPhonote
Image: iPhonote