LLM inference server with continuous batching & SSD caching for Apple Silicon β managed from the macOS menu bar
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Rapid-MLX is an open-source (Apache 2.0) OpenAI- and Anthropic-compatible LLM inference server for Apple Silicon, built on MLX, focused on reliable tool calling for coding agents. Up to 4Γ faster than Apple's MLX (mlx-lm) on the same weights.
Open-source inference server and production cluster for all the models your agent needs.
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of containers.
Turn any computer or edge device into a command center for your computer vision projects.
Add bisenetv2. My implementation of BiSeNet
High-performance OpenAI and Anthropic compatible LLM inference server for Apple Silicon. Native MLX, continuous batching, multimodal models, MCP tool calling, and Claude Code support.
The simplest way to serve AI/ML models in production
This repository contains tutorials and examples for Triton Inference Server
Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.
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