From $0.01 usage-based · Free trial🇺🇸
US inference platform for open, fine-tuned and custom models on autoscaling GPUs, with Model APIs, training and self-hosting.
vLLM overview and key facts (October 2026)
Open-source library for fast inference and serving of language models with an OpenAI-compatible server and broad hardware support.
Free
What is vLLM?
vLLM is an open-source engine for serving large language models efficiently on your own hardware. IT and platform teams use it to run open models behind an OpenAI-compatible API, so internal applications can switch from a cloud provider to a self-hosted model.
vLLM was originally developed in the Sky Computing Lab at UC Berkeley and is now maintained by a community of more than 2,000 contributors. It runs on NVIDIA, AMD and Intel GPUs, x86, ARM and PowerPC CPUs, Google TPUs, Intel Gaudi, Huawei Ascend and Apple Silicon. The repository had about 92,900 stars and a last push on September 28, 2026.
vLLM AI features and use cases
- Serves models to internal applicationsvLLM exposes open models through an OpenAI-compatible and Anthropic-compatible API. Existing applications connect to a self-hosted model with minimal changes.
- Handles many users at oncePagedAttention manages GPU memory efficiently, and continuous batching processes many requests together. The same hardware serves more users.
- Fits models onto available hardwareQuantization formats from FP8 to INT4 and parallelism across several GPUs let large models run on the hardware a company has. Teams avoid buying more GPUs than needed.
What sets vLLM apart
- Supports a wide range of accelerators, from NVIDIA and AMD GPUs to TPUs, Gaudi, Ascend and Apple Silicon.
- Community-governed project under Apache-2.0 without a single commercial owner.
Where vLLM is strongest
Available internationally
vLLM is a community project that started at UC Berkeley and can be used worldwide without country ties.
Questions to ask before you buy vLLM
Running vLLM means your team handles GPUs, updates, security patches and monitoring, and there is no vendor support contract. Check the license of each model you serve. Self-hosting keeps prompts in your own infrastructure, which can simplify data protection reviews.
vLLM reviews
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Questions about vLLM
Is vLLM free?
Yes. vLLM is open source under the Apache-2.0 license.
Can existing OpenAI integrations use vLLM?
Yes. vLLM provides an OpenAI-compatible API server and also supports the Anthropic Messages API.
Which hardware does vLLM run on?
According to the README, NVIDIA, AMD and Intel GPUs, several CPU architectures, Google TPUs, Intel Gaudi, IBM Spyre, Huawei Ascend and Apple Silicon.
vLLM update historyno updates yet
No changes recorded for vLLM yet.
Changes the vendor made and confirmed user reports, each checked against the vendor's own pages. We review every tool monthly.
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