Provides containers to encapsulate and deploy EdgeML pipelines and applications.
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MLOps framework to package, deploy, monitor and manage thousands of production machine learning models.
Python-free Rust inference server with OpenAI API compatibility and hot model swapping.
Open-source DevOps agent to help you secure, deploy, and maintain production-ready infrastructure.
An MLOps/LLMOps platform for model building, evaluation, and fine-tuning.
Lets you create apps for your ML projects with deceptively simple Python scripts.
Inference for text-embedding models.
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.
Machine Learning Operations - An awesome list of references for MLOps.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
The open source standard for data logging. Enables ML monitoring and observability.