Mirai
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On-device AI inference lab building a fast local model runtime and quantization tooling for Apple Silicon developers.
What it does
Mirai Labs builds models, an inference runtime, and quantization tools aimed at making on-device AI interactions near-instantaneous on Apple Silicon. The stack includes a custom inference engine, model conversion tools, a macOS app, a CLI, and cloud inference, with Android support planned. It targets developers building latency-sensitive, always-on local AI assistants.
Core features
Custom on-device inference engine optimized for Apple Silicon
Model conversion tooling
macOS app and CLI tool
Quantization schemes co-designed with model architecture
Cloud inference option
Models library for local deployment
Best for
→Developers building latency-sensitive on-device AI assistants
→Teams wanting private, local inference instead of cloud APIs
→Researchers optimizing quantization for edge devices
→Apple ecosystem app builders needing fast local automation