Free
Free
Open-source engine; homepage invites anyone to deploy and serve models locally or on their hardware
- Access
- Open-source engine; homepage invites anyone to deploy and serve models locally or on their hardware
Finding the possibilities
vLLM
● Identity checkedLLM inference engine · Vendor site 2026-10-04
vLLM is an open-source inference and serving engine for large language models focused on high throughput and memory-efficient deployment. The project ships with an OpenAI-compatible API, PagedAttention scheduling, and documentation for CUDA, ROCm, CPU, and Docker installs.
- Category
- LLM inference engine
- Free access
- Open-source engine; homepage invites anyone to deploy and serve models locally or on their hardware
- API access
- Documentation highlights a drop-in OpenAI-compatible API for integration
Is vLLM right for you?
A good fit for
ML engineers and platform teams self-hosting open models who need efficient batching and serving rather than a hosted chat UI product.
Before you choose
vllm.ai marketing does not list commercial USD subscription tiers; operators supply their own GPUs, drivers, and Python environment per docs.
High-throughput LLM serving
vLLM positions itself as the memory-efficient inference engine developers use to deploy open LLMs at scale, emphasizing easy installs, OpenAI-compatible endpoints, and hardware-aware performance for cost-sensitive self-hosted AI.
What it can do
Features & capabilities
Unknown is different from unavailable. Each fact carries its own evidence.
| Capability | Value | Evidence | Checked |
|---|---|---|---|
| PagedAttention | Homepage cites PagedAttention and continuous batching for GPU utilization. | Facts sourced | 2026-10-04 |
| OpenAI-compatible API | Marketing lists an OpenAI-compatible API for serving open models. | Facts sourced | 2026-10-04 |
| Install options | Quick start UI on the site supports Stable or Nightly builds across CUDA, ROCm, XPU, and CPU. | Facts sourced | 2026-10-04 |
Understand the total cost
vLLM pricing & plans
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Explore toolThe practical questions
Frequently asked questions
What is vLLM used for?
vLLM is an open-source inference and serving engine for large language models focused on high throughput and memory-efficient deployment. The project ships with an OpenAI-compatible API, PagedAttention scheduling, and documentation for CUDA, ROCm, CPU, and Docker installs.
Does vLLM have a free plan?
Open-source engine; homepage invites anyone to deploy and serve models locally or on their hardware. This record lists ongoing free access; check the plan limits before starting.
How much does vLLM cost?
No paid monthly price is listed; this record treats the product as free to start. See the plan cards for entitlements, billing commitments and seat minimums.
Can I use vLLM through an API?
Documentation highlights a drop-in OpenAI-compatible API for integration. API access and subscription access may have different terms; consult the linked sources.
What should I check before choosing it?
vllm.ai marketing does not list commercial USD subscription tiers; operators supply their own GPUs, drivers, and Python environment per docs.
Price history
No retained pricing changes yet. A current price alone does not establish a historical trend.
How this profile is supported
Identity and profile
Reviewed vendor source
Read original source ↗Facts apply to the named version and check date. Send a sourced correction if something changed.