Building ultra-low-latency voice AI applications on AWS
Summary
- Cartesia uses State Space Models (SSMs) to deliver sub-100ms text-to-speech and speech-to-text at global scale on AWS.
- SSMs overcome traditional transformer limitations by providing constant memory footprints and native streaming support for audio processing.
- Cartesia's Sonic handles text-to-speech generation while Ink provides speech-to-text capabilities with native turn detection.
- Teams can deploy Sonic via Amazon SageMaker AI as an AWS Marketplace model package or self-manage the container on Amazon EC2 GPU instances.
Why it matters
State Space Models offer an efficient alternative to transformers for streaming audio, enabling ultra-low-latency conversational AI agents that meet human turn-taking expectations on AWS infrastructure.