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AWS outlines how to deploy Cartesia voice AI models on SageMaker and EC2
AWS explains how to build low-latency voice AI applications using Cartesia State Space Models on Amazon SageMaker and Amazon EC2.
Summary
AWS explains how developers can run Cartesia voice AI models, including the Sonic text-to-speech model and Ink speech-to-text model, on AWS infrastructure. The guide covers deploying Sonic as an Amazon SageMaker model package from AWS Marketplace or self-managing the container on EC2 GPU instances. It also highlights how these voice models integrate with Amazon Connect for contact center applications.
What changed
- Cartesia Sonic and Ink voice AI models can be deployed on AWS using State Space Models for real-time text-to-speech and speech-to-text.
- Sonic can be deployed as an Amazon SageMaker model package from AWS Marketplace to an endpoint.
- Sonic can be self-managed on Amazon EC2 GPU instances using a container image obtained from Cartesia.
Availability
Available now“The managed path, using the Amazon SageMaker AI model package from AWS Marketplace, is the default for most teams: you subscribe, deploy to an in-VPC endpoint in minutes, and let SageMaker handle scaling and operations.”
Founder takeaway
Small teams building real-time voice applications can deploy Cartesia Sonic via SageMaker for a managed in-VPC endpoint or use the Cartesia API to get started without infrastructure setup.
Source
Researched and drafted with AI from the official sources above, then checked automatically before publishing. Spotted a mistake? Tell us.
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