Building ultra-low-latency voice AI applications on AWS

This article explains how Cartesia, an AWS Partner, uses State Space Models (SSMs) and AWS infrastructure to build ultra-low-latency voice AI applications that deliver natural, human-like conversational experiences.

• State Space Models process sequences step-by-step with constant memory, enabling streaming audio without the latency of transformer-based models
• Sonic delivers text-to-speech with first audio byte in ~90ms and ultra-realistic voice quality across 44+ languages
• Ink provides speech-to-text with native turn detection and context-aware end-pointing for seamless conversations
• Deploy Sonic via SageMaker Marketplace for managed, in-VPC endpoints or self-manage on EC2 GPU instances for full control
• Amazon Connect integrates Cartesia's models for production-scale contact center experiences with instant responsiveness

SSM-based voice AI enables developers to build conversational agents that feel indistinguishable from human interaction while maintaining sub-100ms latency at global scale.