Overview
Jina Serve is a cloud-native framework for building and deploying multimodal AI services. It supports gRPC, HTTP and WebSocket protocols, dynamic batching, and elastic scaling. The framework focuses on production-readiness, observability and container-native deployments.
Key features
- Support for gRPC/HTTP/WebSocket with streaming output.
- Built-in replicas/shards, dynamic batching and deployment tooling for scaling.
- Integrations with container platforms, Kubernetes and Jina Cloud for production deployments.
Use cases
Suitable for high-throughput, low-latency inference services, pipeline orchestration, model serving and enterprise deployments across recommendation, retrieval, generative and multimodal inference scenarios.
Technical details
Implemented in Python, Serve introduces abstractions like Executor, Deployment and Flow, supports plugin backends and emphasizes engineering practices, observability and integration with tracing/monitoring systems.