@cevenif: For those running local LLMs on Macs, here's a tool worth watching — Rapid-MLX. It delivers 2-4x faster inference on M-series chips than Ollama, thanks to being built directly on Apple's MLX framework for more thorough utilization of the chip architecture. Key highlights: KV cache pruning plus…
Summary
Rapid-MLX is a local LLM inference tool optimized for Apple M-series chips. Built on the MLX framework, it achieves 2 to 4 times faster inference than Ollama, supports multiple models, tool calling, and an OpenAI API-compatible interface.
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Cached at: 06/18/26, 02:17 PM
Rapid-MLX
Run AI on your Mac. Faster than anything else.
Run local AI models on your Mac — no cloud, no API costs. Works with Cursor, Claude Code, and any OpenAI-compatible app.
rapidmlx.com · Desktop app · Community benchmarks · Model mirror
pip install → serve Gemma 4 26B → chat + tool calling → works with PydanticAI, LangChain, Aider, and more.
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