AI Topic: AI Infrastructure

A public directory and index of Model Context Protocol (MCP) servers that lets developers discover, browse, and integrate data and tool connectors for AI agents and applications.

AI observability platform for building, evaluating, monitoring, and shipping quality AI products.

AI cloud platform for training, running, and serving models with pay-per-token APIs, managed GPU infrastructure, and collaborative cloud workspaces.

Tinker is an API for efficient LoRA fine-tuning of large language models—you write simple Python scripts with your data and training logic, and Tinker handles distributed GPU training.

Open-source-first AI company providing state-of-the-art LLMs, APIs, agent orchestration, fine-tuning tools, and deployable private inference solutions for enterprise and developer use.

An open-source, high-performance library for serving and running large language models with GPU-optimized inference and efficient memory and batch management.

Replicate provides a developer platform and API to run, fine-tune, deploy, and scale machine learning models with pay‑for‑what‑you‑use hardware billing.

Cloud inference platform providing low-cost, scalable APIs and infrastructure to run, host, and deploy machine learning models and custom LLMs.

Self-hosted open-source AI API server that exposes unified REST endpoints and supports multiple LLM providers for integration into applications.

Privacy-preserving decentralized intelligence: attested TEEs + Solana PDAs for on-chain sessions and payments, with an open marketplace of service agents.