Chitu

What it is

Chitu is a high-performance inference framework designed to serve large language models efficiently and flexibly, making it ideal for deployment scenarios where performance and resource management are critical.

Chitu stands out as an open-source, high-performance inference framework that prioritizes efficiency and flexibility in model serving, making it a strong choice for teams looking to deploy large language models without the overhead of cloud services.

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 is in C++, with limited official SDKs for other languages

2. 02

   Complex setup process, especially for distributed systems

   Documentation lacks detailed steps for setting up across multiple nodes

What it does well

• High-performance inference for large language models

• Flexible deployment options

• Efficient resource management

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.