Building ultra-low-latency voice AI applications on AWS
Ink streams transcriptions with native turn detection, context‑aware end‑pointing, noise robustness and multi‑speaker handling.
Key points
- Ink STT streams transcription with native turn detection and noise robustness for real‑time conversational AI.
- Both models can be deployed via SageMaker Marketplace model package or self‑managed EC2 GPU containers on AWS.
Both models are available through Amazon SageMaker as a Marketplace model package (Sonic 3.6) that can be deployed to an in‑VPC endpoint in minutes, or via a self‑managed container on EC2 GPU instances for teams with existing infrastructure or strict networking needs. The article lists supported instance types (ml.g6e.xlarge, ml.g7e.2xlarge, ml.p5.48xlarge, etc.), deployment steps, and scaling recommendations such as custom auto‑scaling based on active audio‑stream count.
The post positions these low‑latency voice models as a solution for contact centers, telehealth, gaming, accessibility tools, and AI‑driven sales agents that require instantaneous, natural‑sounding speech interactions.
Building ultra-low-latency voice AI applications on AWS
AWS Machine Learning Blog · 3 November 2026
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