LMDeploy

What it is

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.

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.

When it fits — and when it doesn’t

Known weaknesses

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

1. 01

   Limited language support beyond C++ and Python

   Primary development in C++, secondary support for Python; other languages require community effort

2. 02

   Performance optimizations may lead to higher complexity in setup and maintenance

   High-performance tuning requires deep understanding of underlying architecture and configurations

What it does well

• 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

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.