vLLM is the open-source library for fast LLM inference — achieving 24x higher throughput than HuggingFace Transformers via PagedAttention. The standard for self-hosted LLM serving.
How vLLM compares with its closest alternatives
2 of the 5 closest alternatives have a free plan, as vLLM does. All 5 offer an API, as vLLM does. vLLM offers a desktop app. Of the 4 alternatives with platforms on record, none offers a desktop app. vLLM was founded in 2023; the alternatives were founded between 2016 and 2022, 5 of them earlier. vLLM is based in Berkeley, United States; all its 5 alternatives are in the United States too.
Market position · AI Models
How vLLM compares in AI Models
vLLM has high opportunity and sits in the top third of 455 live AI Models tools on FalcoScan. Across AI Models, the average opportunity score is 74.6 and the average saturation score 30.5. FalcoScan rates vLLM's own market position as open. 200 of the 455 operating AI Models tools have hot momentum, and FalcoScan has recorded 13 shutdowns in the category.
The closest alternatives to vLLM that are still running, matched on the AI capabilities, uses and audience they share, are Hugging Face Hub, Cerebras, Baseten, SambaNova, and Together Inference.
Is vLLM still running?
Yes. As of 2 November 2026, FalcoScan lists vLLM as operating at vllm.ai.
Where is vLLM based?
vLLM is headquartered in Berkeley, United States.
Does vLLM have an API?
Yes. vLLM offers an API.
Who is vLLM for?
vLLM is built for ML engineers, researchers, and enterprises.
How do I sign in to vLLM?
Sign in on vLLM's own website, vllm.ai. FalcoScan reviews vLLM but does not run its accounts, so logins, passwords and billing are handled by vLLM directly.