Build and launch AI applications that can handle various data types and scale from local to cloud environments.
From the README
pip install jina
- Native support for all major ML frameworks and data types
- High-performance service design with scaling, streaming, and dynamic batching
- LLM serving with streaming output
- Built-in Docker integration and Executor Hub
- One-click deployment to Jina AI Cloud
- Enterprise-ready with Kubernetes and Docker Compose support
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime☁️ Build multimodal AI applications with cloud-native stack
serve has 21.9k stars on GitHub. It has been forked 2.2k times. serve is written mainly in Python. It has been in active development since 2020. serve is available under the Apache-2.0 license. Its main topics are cloud-native, cncf, deep-learning, docker.
What is serve?
☁️ Build multimodal AI applications with cloud-native stack
Is serve open source?
serve is an open-source project. It is released under the Apache-2.0 license.
Is serve free?
Yes. serve is free and open source — you can use, modify and self-host it.
What license does serve use?
serve is available under the Apache-2.0 license.
What language is serve written in?
serve is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/jina-ai-serve.html)
