Ollama's New MLX Engine Delivers Significant Performance Gains on Mac

Ollama has introduced a new MLX engine that is delivering remarkable performance improvements for Mac users running local LLMs. Early adopters report that their inference speeds have nearly doubled, making local deployment on Apple Silicon significantly more practical for everyday use cases.

This advancement is particularly important for the local LLM community because MLX is optimized specifically for Apple's hardware architecture, allowing better utilization of the Neural Engine and memory bandwidth. The performance gains eliminate a key friction point that previously made cloud inference more attractive for Mac users, enabling faster and more responsive local inference without compromising privacy.

For practitioners looking to deploy LLMs locally on Apple Silicon, switching to the MLX engine in Ollama is now a straightforward way to get substantial performance benefits without changing models or infrastructure.

Source: MSN · Relevance: 9/10