autokernel

High-throughput, memory-efficient LLM inference and serving engine that lets developers deploy models faster without building serving infrastructure.

Core framework for loading and training state-of-the-art text, vision, audio, and multimodal models, for inference and training.

A node-based GUI and backend for diffusion models, offering fast local inference and modular workflows.