Rapid-MLX
Rapid-MLX is the fastest local AI engine for Apple Silicon, supporting multiple models and tool calls.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 2.7k
- Source
- GitHub
- Added
- 2026-06-07
- Last verified
- 2026-06-07
Overview
Rapid-MLX is a locally-run AI engine designed specifically for Apple Silicon, delivering performance 4.2x faster than Ollama. It supports various models and tool invocations, serving as a replacement for OpenAI. Users can run AI models natively on Mac without relying on cloud services or paying API fees. Ideal for developers and researchers who need fast response times and efficient tool calling.
Key features
- ▪4.2x faster than Ollama
- ▪0.08 seconds cached TTFT
- ▪100% tool call support
- ▪OpenAI API compatibility
- ▪Supports multiple AI models
Use cases
Pros
- ＋Fast with rapid response
- ＋No cloud service required
- ＋High compatibility
- ＋Supports multiple models
Limitations / notes
- －Requires high memory configuration
- －Only supports Apple Silicon
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
Rapid-MLX supports Mac devices with M1, M2, M3, M4, and other Apple Silicon chips.
Rapid-MLX supports Mac devices with M1, M2, M3, M4, and other Apple Silicon chips.
How do I install Rapid-MLX?
It can be installed via Homebrew, pip, or a one-click script.
Does Rapid-MLX support multimodal models?
Yes, it supports multimodal models such as Gemma 4 and Qwen-VL.
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