LMDeploy

High-throughput and low-latency inference framework for LLMs and VLs

EstablishedOpen SourceLow lock-in

Pricing

See website

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Overview

What is LMDeploy?

LMDeploy is a high-performance inference and serving framework designed to deliver fast and efficient deployment of large language models (LLMs) and vision-language models (VLs). It focuses on minimizing latency while maximizing throughput, making it ideal for real-time applications.

Key differentiator

LMDeploy stands out with its focus on high-throughput and low-latency inference, making it ideal for real-time applications that require efficient deployment of large language models and vision-language models.

Capability profile

Strength Radar

High-throughput …Support for both…Optimized for re…Self-hosted depl…Apache-2.0 licen…

Honest assessment

Strengths & Weaknesses

↑ Strengths

High-throughput and low-latency inference

Support for both LLMs and VL models

Optimized for real-time applications

Self-hosted deployment options

Apache-2.0 licensed

Fit analysis

Who is it for?

✓ Best for

Teams needing high-throughput and low-latency inference for LLMs and VL models in production environments

Projects requiring self-hosted deployment options with optimized performance

Applications that demand real-time responses from large language or vision-language models

✕ Not a fit for

Developers looking for cloud-based managed services without the need to manage infrastructure

Teams preferring a more user-friendly web interface over command-line tools and libraries

Cost structure

Pricing

Free Tier

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Alternatives

Next step

Get Started with LMDeploy

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →