Model Hubs & Serving

vLLM

High-throughput and memory-efficient inference engine for large language models.

Status
Generally available
Last checked
Checked · Oct 16, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

vLLM is a high-performance inference and serving engine designed to optimize throughput and reduce memory usage when deploying large language models. It's ideal for developers looking to serve LLMs efficiently without compromising on performance or resource utilization.

vLLM stands out as a memory-efficient and high-throughput inference engine, making it ideal for developers who need to serve large language models efficiently without the overhead of resource-intensive alternatives.

When it fits — and when it doesn’t

A good fit for

  • Teams deploying large language models who need high throughput and low memory usage

  • Projects with limited computational resources but requiring efficient model serving

  • Developers optimizing the performance of their applications that rely on LLMs

Look elsewhere if

  • Applications requiring real-time streaming capabilities (batch-only architecture)

  • Scenarios where a managed cloud service is preferred over self-hosting

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited documentation for advanced use cases

    Documentation is sparse on topics like custom model integration and performance tuning

  2. 02

    Small community and limited third-party integrations

    Few contributors and a narrow ecosystem of compatible tools compared to more established frameworks

What it does well

  • High throughput for serving large language models

  • Memory-efficient model inference

  • Optimized for resource-constrained environments

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up vLLM

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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