Ollama Enhances Local Model Performance on Macs
March 31, 2026 at 23:00
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✦ AI Summary
- Ollama adds MLX support for better machine learning performance
- Improved caching and NVFP4 format enhance memory efficiency
- Macs with Apple Silicon see significant performance boosts
Ollama has unveiled support for Apple's open-source MLX framework, optimizing the operation of large language models on local machines. This update enhances caching capabilities and integrates support for Nvidia's NVFP4 format, promoting more efficient memory usage for specific models.
These advancements are set to boost performance on Macs equipped with Apple Silicon chips (M1 and later), coinciding with a growing interest in local models beyond just the research community. The recent popularity of OpenClaw—gaining over 300,000 stars on GitHub—has motivated many users to explore running models directly on their systems.
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