Running local models on Macs gets faster with Ollama's MLX support

Ollama’s new MLX support lets Macs run local models up to 3x faster than typical cloud-dependent AI setups, shrinking the gap between private inference and centralized services. For developers, this means running a 7-billion-parameter model locally in under 2 seconds, compared to 6 seconds on older frameworks. Unlike vague claims of “improved efficiency,” this is 40% faster than the runner-up MPS backend, making MLX a clear leap for on-device privacy without sacrificing performance. Cheaper than the average cloud API call at $0.02 per query, it’s a game-changer for edge AI.