AI Infrastructure & MLOps

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.

TPOT uses genetic programming to optimize machine learning pipelines in Python.

ModelOp manages enterprise AI assets and governance through a command center for tracking AI delivery.

Scrapeless combines an agent browser, AI scraper, web unlocker, and APIs for building web-data workflows.

Colibri runs mixture-of-experts language models on local hardware, streaming experts from disk with a small C engine.

Featherless is a serverless AI inference platform for open-weight models with API access to tens of thousands of models.

Ship AI agents that reason, remember, and act in TypeScript. Mastra provides memory, tools, MCP, and observability to go from prototype to production.

The ChefBoost Python framework supports decision trees such as ID3, C4.5, CART, CHAID, regression trees, and ensemble methods.

Lambda provides on-demand GPU instances and reserved clusters for training and running AI models.

A multimodal lakehouse for developing, managing, searching, and serving large-scale AI datasets.