Fast LLM serving with PagedAttention
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Tracked since2025
0 reviews trackedThe Bottom Line
Entry price
Free, no paid tier
Biggest pro
Fast LLM inference
Biggest con
Hardware requirements
TL;DR - vLLM
- vLLM is a high-throughput LLM serving library optimized for inference
- It achieves 24x higher throughput than HuggingFace with PagedAttention
- Completely free and open-source
Pricing: Free forever
Best for: Individuals & startups
What is vLLM?
vLLM serves LLMs with optimized throughput. Efficient inference for language models-running AI at production scale.
The throughput is excellent. The memory efficiency is smart. The production features are growing.
Teams deploying LLMs at scale use vLLM for efficient model serving.
Available on: Linux
Pros & Cons
Pros
- Fast LLM inference
- Open source
- Good performance
- Active development
- Good for production
Cons
- Hardware requirements
- Setup complexity
- Learning curve
- Documentation improving
- Still maturing
Key Features
LLM servingPagedAttentionHigh throughputOpenAI compatibleContinuous batchingOpen source
Pricing Plans
Free
Free
- High-throughput LLM serving
- PagedAttention
- OpenAI-compatible API
- GPU optimization
- Apache-2.0 license
- Open source
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vLLM FAQ
Is vLLM free?
Free and open source. Apache 2.0 license. LLM inference library.
What is vLLM?
High-throughput LLM inference library. Fast model serving. Production ready.
vLLM vs TGI?
Both LLM serving. vLLM excellent throughput. TGI from HuggingFace. Both popular.
Source: vllm.ai