AWS describes deploying Cartesia speech models on AWS
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AWS released a tutorial on how AWS partner Cartesia provides speech AI models on AWS. Cartesia says its Sonic text-to-speech and Ink speech-to-text models, powered by its proprietary State Space Model (SSM) architecture, both have first-byte latency under 100ms, with Sonic's first audio output at about 90ms. The two models are obtained differently: Sonic is offered as an Amazon SageMaker AI model package through AWS Marketplace and must be deployed to a SageMaker AI endpoint running in the user's own VPC; Ink is currently offered through the Cartesia API and can be purchased on the Cartesia Voice AI Platform listing in AWS Marketplace. AWS explains that a subscription only grants the account permission to access the model package and does not automatically deploy resources; if the quota for the selected instance type is insufficient to cover existing usage plus the planned number of endpoints, users may need to request a service quota increase.
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- AWS Machine Learning BlogBuilding ultra-low-latency voice AI applications on AWS
This AWS post explains how Cartesia, an AWS Partner, uses State Space Models (SSMs) and AWS infrastructure to deliver sub-100ms text-to-speech (Sonic) and speech-to-text (Ink) at global scale. It details two deployment patterns for Sonic: an Amazon SageMaker AI model package via AWS Marketplace running in-VPC, and self-managed containers on EC2 GPU instances, and describes Cartesia's voice models operating inside Amazon Connect.
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