Introducing bidirectional streaming for real-time inference on Amazon SageMaker AI

This article introduces bidirectional streaming for Amazon SageMaker AI Inference, enabling real-time two-way communication between clients and AI models for applications like speech-to-text and voice agents.

• Bidirectional streaming allows simultaneous data flow in both directions over persistent HTTP/2 and WebSocket connections
• Reduces latency and infrastructure overhead compared to traditional request-response inference patterns
• Supports bring-your-own-container deployments with WebSocket protocol implementation at localhost:8080
• SageMaker infrastructure includes health monitoring with ping/pong frames every 60 seconds
• Deepgram Nova-3 speech-to-text model available on AWS Marketplace with 14-day free trial
• Includes code examples for building custom containers and invoking endpoints with bidirectional streaming
• Enables real-time transcription, multi-turn conversations, and continuous AI agent interactions

SageMaker AI bidirectional streaming simplifies deployment of real-time voice AI applications with reduced operational complexity and improved user experience.