AWS Machine Learning Blog· Nolan Chen·· 3 days agoAI score38
Building ultra-low-latency voice AI applications on AWS
Building ultra-low-latency voice AI applications on AWS
AI summary
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.
Source: AWS Machine Learning Blog · aws.amazon.com