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An MLOps/LLMOps platform for model building, evaluation, and fine-tuning.

Lets you create apps for your ML projects with deceptively simple Python scripts.

Superwise supports deploying, serving, monitoring, or operating AI and machine-learning systems.

systemprompt.io supports deploying, serving, monitoring, or operating AI and machine-learning systems.

TeamoRouter provides machine-learning models, research, training resources, or evaluation tools.

Tecton supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Inference engine for TensorRT on Nvidia GPUs.

TensorZero builds open-source tools for production-grade LLM applications: LLM gateway, observability, optimization, evaluations, and experimentation.

Inference for text-embedding models.

Large Language Model Text Generation Inference.

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.

Tracking AI supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Provides an optimized cloud and edge inferencing solution.

TrueFoundry supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Package, configure, and iterate on a model with Truss at whatever level of control your model needs.

Documentation for Tune, covering setup, features, and practical usage.

Highly Scalable Distributed Vector Search Engine.

Valohai supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Vast.ai provides machine-learning models, research, training resources, or evaluation tools.

VBench supports machine learning models, deployment, inspection, datasets, or AI development workflows.

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