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jina-ai/serve

A cloud-native framework for building and deploying high-performance multimodal AI applications with built-in scaling and orchestration.

Core Features

Native support for major ML frameworks and data types

High-performance service design with scaling, streaming, and dynamic batching

LLM serving with streaming output

Built-in Docker, Executor Hub, Kubernetes, and Docker Compose integration

One-click deployment to Jina AI Cloud

Quick Start

pip install jina

Detailed Introduction

Jina-Serve is a robust framework designed for developing and deploying AI services, particularly those involving multimodal AI. It simplifies the process of building high-performance, scalable AI applications by providing native support for various ML frameworks, efficient data handling via DocArray, and built-in features for scaling, streaming, and dynamic batching. With its cloud-native approach, including Docker, Kubernetes, and Jina AI Cloud integration, developers can focus on their core AI logic while Jina-Serve manages the complexities of service orchestration and production deployment. It supports gRPC, HTTP, and WebSockets for flexible communication.