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Flexible, high-performance serving system for machine learning models.

Uniform deep learning inference framework for mobile, desktop and server.

A flexible and easy to use tool for serving PyTorch models.

OpenTelemetry-based observability and monitoring for LLM and agents workflows.

Provides an optimized cloud and edge inferencing solution.

Highly Scalable Distributed Vector Search Engine.

Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.

Python vector database you just need - no more, no less.

Store, search, organize and make machine-learned inferences over big data at serving time.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

The open source standard for data logging. Enables ML monitoring and observability.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Build and control your personal LLMs with fast and efficient fine-tuning.

Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.