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AWS and Cartesia Outline Deployment Options for Sonic Voice Models

1 reports 1 reporting sources Updated 2 hours ago

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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.

Generated by AI from reports · Updated 53 minutes ago

Latest development11/4 00:40 (UTC+8)
How to Deploy Cartesia’s Low-Latency Voice Models on AWSAWS Machine Learning Blog

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11/4
  1. AWS Machine Learning Blog
    How to Deploy Cartesia’s Low-Latency Voice Models on AWS

    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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