kitio.aiAdded Oct 28, 2026
vLLM
FreeHigh-throughput open-source engine for serving LLMs in production
What is vLLM?
vLLM is an open-source inference and serving engine for large language models, known for high throughput through PagedAttention and continuous batching. It is the default way many companies and cloud providers serve open models on GPUs.
vLLM exposes an OpenAI-compatible server, supports tensor and pipeline parallelism, quantization, speculative decoding, prefix caching and LoRA adapters. It runs on NVIDIA, AMD, Intel, TPU and other hardware.
The project began at UC Berkeley and is now part of the PyTorch Foundation, with contributors from many companies. It is free under the Apache 2.0 license.
Features
- PagedAttention
- Continuous batching
- OpenAI-compatible server
- Multi-GPU parallelism
- LoRA serving
Tags
Releases
+ Submit new release- Listed
vLLM was added to the directory.
Organization
vLLM project
🇺🇸 United States
Listed by kitio.ai · unverified owner
Pricing
- Pricing model
- Free
- Paid options from
- 100% free
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Pros and cons
Pros
- Excellent throughput
- Broad hardware support
- Industry-standard serving
Cons
- Needs server-class GPUs
- Many tuning flags
- Fast releases change defaults
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Q&A
What is vLLM?
vLLM is an open-source inference and serving engine for large language models, known for high throughput through PagedAttention and continuous batching. It is the default way many companies and cloud providers serve open models on GPUs.
How much does vLLM cost?
vLLM is 100% free.
Is there a free version of vLLM?
Yes. vLLM is completely free to use.
What are the main features of vLLM?
PagedAttention, Continuous batching, OpenAI-compatible server, Multi-GPU parallelism, LoRA serving.
Who makes vLLM?
vLLM is made by vLLM project.
What are the best alternatives to vLLM?
Popular alternatives include SGLang, llama.cpp, Beam.