Running local models on Macs gets faster with Ollama's MLX support
SMRTR summary
Ollama introduced support for Apple's MLX framework and improved caching to dramatically boost local AI model performance on Macs with Apple Silicon chips. This timing aligns with growing developer interest in running models locally to avoid expensive subscriptions and rate limits, though the preview currently requires 32GB RAM and supports only one model.
SMRTR provides this summary for quick context. The original article belongs to Ars Technica.
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