AI Infrastructure

MLOps framework to package, deploy, monitor and manage thousands of production machine learning models.

Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments.

Model deployment for AI applications is supported by nndeploy, a framework described as easy to use and high performance.

OpenLIT provides observability and evaluation for AI agents and coding agents, tracing models, tools, prompts, costs, and workflows.

Synexa AI deploys AI models through an API, with examples for image generation, video generation and image restoration.

BLACKBOX AI serves selected open-weight models as dedicated deployments or through one inference endpoint.

Caffe provides an open framework for building and running deep learning models.

Notte provides cloud browser infrastructure and web automation for AI and coding agents.

Respan unifies LLM observability, evals, prompt optimization, and an AI gateway so teams can ship reliable AI applications.

Flower provides a federated AI framework for machine learning projects.

TrueFoundry provides enterprise AI and MCP gateways for deploying, securing, and scaling models and agents.

Xpress AI provides persistent AI coworkers for shared project work, durable tasks, and configured tools.

Cerebras provides AI inference infrastructure built around its wafer-scale chips.

Flaq offers one API for accessing AI image, video, 3D, music, and language models.

Hyperbrowser provides cloud browser infrastructure for AI agents and applications.

Zep unifies business data, documents and conversations into governed context for enterprise AI agents.

einops provides readable tensor operations for PyTorch, JAX, TensorFlow, and other frameworks.

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

Eurybia tracks model drift and validates data during machine learning model deployment.

DigitalOcean offers cloud infrastructure for AI agents, inference, and production AI products.

Forefront provides a platform for fine tuning and running inference with open source language models.

Roboflow provides tools to build and deploy computer vision models, from annotation to model deployment.

Mirai Labs builds uzu, a Rust LLM engine for Apple devices, with compact Qwen, LFM, and Muse-Glimmer models.

DEAP provides a Python framework for prototyping evolutionary computation algorithms and testing new ideas.