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vLLM

Free
API Available

High-throughput open-source LLM inference with PagedAttention

vLLM Project (UC Berkeley / community) · Infrastructure

Launched Jun 2023

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Quick Answer

vLLM is high-throughput open-source llm inference with pagedattention, made by vLLM Project (UC Berkeley / community). It is free and open source. Key uses: Self-hosted LLM serving, High-throughput inference, Production LLM deployment.

Last updated:

Users

30K+ GitHub stars; deployed at major AI labs and enterprises

Valuation

$1B (seed, a16z, 2025)

What is vLLM?

vLLM is an open-source, high-throughput and memory-efficient inference engine for large language models, built by UC Berkeley. Its PagedAttention algorithm manages GPU memory like an OS manages RAM, enabling 2-4× more throughput than standard HuggingFace inference. Provides an OpenAI-compatible server for drop-in deployment.

What's new in vLLM in 2026?

vLLM 0.6 (2024) adds speculative decoding, lora serving, prefix caching; 30K+ GitHub stars; vLLM Production Stack for Kubernetes; used by major AI companies for model serving; vLLM team raised $100M seed at $1B valuation (Andreessen Horowitz, 2025)

How much does vLLM cost?

Open-Source

$0

  • Apache 2.0 license
  • All features
  • Community support
  • Commercial use

What can you do with vLLM?

  • Self-hosted LLM serving
  • High-throughput inference
  • Production LLM deployment
  • Multi-GPU serving
  • Cost-efficient inference

Pros

  • 2-4× throughput vs HuggingFace
  • OpenAI-compatible API
  • Continuous batching
  • Multi-GPU support
  • All major open models

Cons

  • Requires ML expertise
  • GPU hardware needed
  • No GUI
  • Setup complexity

What are the best alternatives to vLLM?

Frequently Asked Questions about vLLM

How much does vLLM cost?

vLLM pricing: Open-Source at $0.

Is vLLM free?

Yes, vLLM is fully free and open source.

What is vLLM used for?

vLLM is used for: Self-hosted LLM serving, High-throughput inference, Production LLM deployment, Multi-GPU serving, Cost-efficient inference.

What are the best alternatives to vLLM?

Top alternatives to vLLM include Replicate, Groq API, Ollama.

What platforms does vLLM support?

vLLM is available on: Linux (CUDA/ROCm), AWS, GCP, Azure, On-premise.

Details

Vendor

vLLM Project (UC Berkeley / community)

Category

Infrastructure

Pricing Model

Free

Launched

Jun 2023

Website

vllm.ai

Underlying Models

Llama 4DeepSeek R1MistralGemmaQwen200+ models

Platforms

Linux (CUDA/ROCm)AWSGCPAzureOn-premise

Integrations

Hugging FaceLangChainLlamaIndexKubernetesRayDocker

Ideal For

  • MLOps engineers
  • Platform teams
  • High-volume inference
  • GPU cluster operators

Tags

Open-SourceLLM InferenceHigh-ThroughputSelf-HostedPagedAttentionGPU