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TutorialsAWS Machine Learning BlogFrom the source· Nolan Chen·· 2 hours ago

How to Deploy Cartesia’s Low-Latency Voice Models on AWS

Building ultra-low-latency voice AI applications on AWS

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What happened

AWS and Cartesia explain how to deploy Cartesia’s Sonic text-to-speech model on AWS for low-latency voice applications. The post walks through a managed Amazon SageMaker AI option using an AWS Marketplace model package and a self-managed option on EC2 GPU instances, comparing setup, control, scaling, and networking. It also describes Ink transcription access through the Cartesia API and outlines Cartesia’s integration with Amazon Connect.

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See the full storyAWS and Cartesia Outline Deployment Options for Sonic Voice Models

The story so far

AWS and Cartesia explain how to deploy Cartesia’s Sonic text-to-speech model on AWS for low-latency voice applications, using either managed Amazon SageMaker AI or self-managed EC2 GPU instances. The guide compares setup, control, scaling, and networking for the two options. It also describes access to Cartesia’s Ink transcription through the Cartesia API and outlines Cartesia’s integration with Amazon Connect.

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