jundot/omlx — LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the mac…

Description and use

jundot/omlx is an open‑source inference server optimized for Apple Silicon that delivers fast LLM responses through continuous batching and an SSD‑backed cache. It runs as a lightweight background service that can be started, stopped, and monitored directly from the macOS menu bar, making it easy to integrate high‑performance language models into local workflows. The project combines AI/ML capabilities with a clean backend design and a user‑friendly macOS interface.

Problem

jundot/omlx helps add AI capability without starting from a blank model stack.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Evidence

LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar

Source