Explore AI Resources

Framework for building LLM-powered applications using composable primitives.

Run LLaMA-class models efficiently on consumer hardware.

Simple local LLM runtime with a clean developer experience.

High-throughput, memory-efficient LLM serving engine.

State-of-the-art pretrained models for NLP, vision, and audio.

Dense vector representations for sentences and paragraphs.

Real-time object detection system.

Open-source implementation of CLIP models.

Vector database for similarity search and RAG.

Managed vector database for AI applications.

Platform for managing the ML lifecycle.

Experiment tracking and model observability.