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Deepgram deepens Amazon SageMaker AI observability with Enhanced Metrics

Published

27 August 2026

Topic

technology

Sectors

AI & ML

Geography

United States

Source

Read at aws.amazon.com

Verified

Fusion42 · 27 August 2026 · Fusion42 review

Deepgram has introduced Enhanced Metrics for their speech-to-text and text-to-speech models on Amazon SageMaker AI, providing detailed usage and billing transparency directly in customers' CloudWatch accounts without additional permissions or network setup. This includes Prometheus and OpenTelemetry support for granular GPU and engine-level observability under AWS Marketplace's network isolation constraints.

This Wire brief sits within Fusion42's coverage of AI & ML.

◆ The Wire takeaway

You gain direct, agentless access to billing and performance metrics inside your AWS account, cutting through black-box telemetry in speech AI models. Command your cost and capacity planning better and integrate GPU-level insights into CloudWatch or Grafana dashboards immediately.

Coverage

1 source · 27 Aug 2026

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Topics

AI & MLawsai-observabilitycloudwatchdeepgramprometheussagemaker