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vLLM
vLLM is an open-source LLM inference and serving engine with PagedAttention, continuous batching, OpenAI-compatible APIs, broad model support, and distributed serving features.
VL
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What to know
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
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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