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Ray
Ray
Category: Inference Infrastructure · GitHub · Docs ⭐ 43,700 · 2.58.0 · Apache-2.0 · snapshot 2026-08-31 Full profile (deep dive, contenders, matrix): [[AI Tools & Platforms Landscape]]
One-liner: General distributed Python runtime: Ray Serve/Data/Train under many serving stacks
What problem does it solve?
How does it work?
When would I reach for it?
Related tools
- [[vLLM]]
- [[KServe]]
- [[MLflow]]
My exploration notes
Blog post checklist
- Outline
- Draft → Blog/posts/tech-explore/ray/
Some information may be outdated
Directory
Book Reviews
Posts
Tech Explore
Categories
Tags
agent-frontend-ux agentic-browser-automation Blogging Books code-first-agent-frameworks code-sandboxes distributed-runtimes document-parsing-pdf fine-tuning gpu-cloud-platforms graphrag-knowledge-graphs inference-infrastructure llm-programming-gateways llm-security-red-teaming llmops-observability local-runtimes-chat-uis managed-cloud-ai markdown-agents-assistants Meta ml-lifecycle-data-versioning Reviews scraping-crawling speech-voice-agents standards-protocols Tech Explore testing-evaluation vector-databases visual-agent-platforms workflow-orchestration
Table of Contents