AI Tool

vLLM Open Runtime

Harness the power of high-throughput, memory-efficient inference with vLLM.

shipped Nov 21, 2025buildpaid

BuildServingvLLM & TGI

Why it matters

1Achieve 1.7x speed improvements with our advanced V1 architecture.

2Deploy across a variety of hardware for ultimate flexibility.

3Experience production-ready features that streamline your workflow.

Specs

API Docs

View Documentation →

GitHub

View Repository →

API Available

Yes, public API

overview

What is vLLM?

vLLM Open Runtime is an open-source inference stack that provides unparalleled throughput and memory efficiency for serving large language models. With its innovative paged KV cache, it ensures optimal performance, making it the go-to solution for developers worldwide.

Open-source and community-driven.
Specifically designed for high-performance LLM serving.
Flexibly integrates with existing ecosystems.

features

Key Features

vLLM is packed with cutting-edge features that cater to diverse deployment scenarios. From automatic prefix caching to support for various hardware, it equips users with everything needed for seamless LLM serving.

Automatic prefix caching reduces latency significantly.
Chunked prefill ensures stable inter-token latency.
Speculative decoding speeds up token generation.

use cases

Ideal Use Cases

Designed for a variety of applications, vLLM is perfect for companies seeking to leverage large language models in production. Its enterprise-ready capabilities make it suitable for both startups and large organizations alike.