Examples showing how to use the OpenAI vision API to run inference on images, video files and webcam streams.
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Provides containers to encapsulate and deploy EdgeML pipelines and applications.
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.
SinglebaseCloud supports deploying, serving, monitoring, or operating AI and machine-learning systems.
SocialBu supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source DevOps agent to help you secure, deploy, and maintain production-ready infrastructure.
Stan supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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.
Tecton supports deploying, serving, monitoring, or operating AI and machine-learning systems.
TensorZero builds open-source tools for production-grade LLM applications: LLM gateway, observability, optimization, evaluations, and experimentation.
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.
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.
Highly Scalable Distributed Vector Search Engine.
Valohai supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.