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Building ultra-low-latency voice AI applications on AWS

AWS AI/MLOfficial

Why Building ultra-low-latency voice AI applications on AWS matters

Teams building real-time voice applications can evaluate Cartesia's Sonic model on AWS as a low-latency option and follow the documented SageMaker or EC2 deployment paths.

Summary

AWS describes how Cartesia, an AWS Partner, uses its purpose-built State Space Models and AWS infrastructure to deliver text-to-speech and speech-to-text with sub-100ms latency at global scale. The post also explains how to deploy Cartesia's Sonic model on Amazon SageMaker AI or on self-managed Amazon EC2 GPU instances.

Read the full article at AWS AI/ML

CoFabrix summarises and comments on this story. The original reporting belongs to AWS AI/ML.

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