Type: inference engine
vLLM is an open-source, high-throughput inference and serving engine for large language models, known for its PagedAttention memory management. It is widely used to deploy open-weight models efficiently in production. GROUNDING tracks vLLM’s releases, supported models, and role in self-hosted AI serving.
Recent Updates
- 2026-08-15: Trie Automata for Constrained Decoding over Large Finite Sets (cs.AI updates on arXiv.org) · arxiv.org — SGLang XGrammar
- 2026-08-30: Bolnee-Chat – Self-Hosted RAG Chatbot for Business Websites (breakingnewsofficial) · github.com — RAG OpenAI · OpenRouter · Groq · Vercel · Ollama AniketWathore
FAQ
What is vLLM?
vLLM is an open-source, high-throughput inference and serving engine for large language models, known for its PagedAttention memory management. It is widely used to deploy open-weight models efficiently in production. GROUNDING tracks vLLM’s releases, supported models, and role in self-hosted AI serving.
What does this page track?
Dated radar mentions, source links, related concepts, and builder-relevant context for vLLM, collected automatically by GROUNDING.
When was vLLM last mentioned?
vLLM was most recently mentioned in a radar update dated 2026-08-30.
Category: Model Hosting, Inference & API Gateways