Amazon Web Services
Amazon Web Services, Inc. · Cloud & hosting providers
Amazon's public cloud with hundreds of usage-billed services spanning compute (EC2, Lambda), storage (S3), databases (RDS), networking, AI (Bedrock) and analytics
9 tools
Amazon Web Services, Inc. · Cloud & hosting providers
Amazon's public cloud with hundreds of usage-billed services spanning compute (EC2, Lambda), storage (S3), databases (RDS), networking, AI (Bedrock) and analytics
Sebastián Ramírez (tiangolo) and FastAPI contributors · API development & tooling
Python web framework for building HTTP APIs from type-annotated functions, with automatic validation through Pydantic and generated OpenAPI documentation
Google (Chrome DevTools team) · Cloud & hosting providers
Google's public cloud with Compute Engine, GKE, Cloud Run, BigQuery, Cloud Storage and the Vertex AI platform for Gemini and other models
Hugging Face · Training & fine-tuning
Hosting platform for open models, datasets and Spaces demo apps built on git repositories and Xet storage, with Inference Providers, Endpoints, Jobs and an open-source Python client and CLI
Cloud Native Computing Foundation · Containers & virtualization
Open-source system for scheduling, scaling and operating containerized workloads across a cluster of machines
Element Labs, Inc. · Local LLM inference & serving
Proprietary desktop app for discovering, downloading and running local LLMs with llama.cpp and MLX engines, a chat UI, an OpenAI-compatible server, CLI, SDKs and a headless daemon
Microsoft · Cloud & hosting providers
Microsoft's public cloud with virtual machines, AKS, Azure Functions, Cosmos DB, Azure Database for PostgreSQL, Entra ID identity and Microsoft Foundry for hosted AI models
Ollama · Local LLM inference & serving
Open-source runtime and model manager for running open-weight LLMs locally on macOS, Windows and Linux, with a REST API, OpenAI- and Anthropic-compatible endpoints and optional cloud models
Ray project (Anyscale and contributors) · Distributed & parallel computing
Open-source Python framework for distributing tasks, actors and ML workloads across a cluster, with libraries for data processing, training, tuning, serving and reinforcement learning
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