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vLLM

9.7(800)
1500 upvotesFreeVerified
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vLLM is an open-source LLM inference and serving engine with PagedAttention, continuous batching, OpenAI-compatible APIs, broad model support, and distributed serving features.

Tool Snapshot

High-throughput, memory-efficient open-source inference and serving engine for LLMs.

Pricing

Free

Primary category

research

Publisher

vLLM Project

Verification

Verified listing

What To Know About vLLM

Key features

  • Inference server
  • PagedAttention
  • Continuous batching
  • OpenAI-compatible API
  • Distributed serving

Best for

  • Model serving
  • Open model deployment
  • High-throughput inference

Pros

  • Industry-leading throughput via PagedAttention
  • Broad hardware support including NVIDIA, AMD, and TPUs
  • OpenAI-compatible API for seamless integration

Cons

  • Significant GPU VRAM requirements for large models
  • More complex deployment compared to lightweight local runtimes
  • Limited performance optimization for CPU-only inference

Published by vLLM Project

researchstartup tools
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vLLM FAQ

What is vLLM used for?

vLLM is commonly used for Model serving, Open model deployment, High-throughput inference.

Is vLLM free?

vLLM is listed as free to use.

How do I compare vLLM with alternatives?

Review pricing, feature coverage, ratings, and similar tools on this page before visiting the product site.

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