Sign in
← AI PulseAug 27, 2026

Wire · news · Single-source brief

Deepgram Enhances Amazon SageMaker AI Observability with New Metrics

Deepgram has introduced two new capabilities for Amazon SageMaker AI that deliver billing, usage, and per-GPU metrics directly into Amazon CloudWatch accounts.

By Illumora Editorial

Source · Aug 27, 2026, 4:11 PM · On Illumora · Aug 27, 2026, 4:18 PM

Media from the primary source — shown here so you can stay on Illumora.

Rewritten from one allowlisted primary — not independent enterprise reporting. Lanes →

Brief drafted by Illumora’s editorial model from the linked primary source. Ops desk reviews flagged pieces. How we write →

Read the source →AWS Machine Learning Blog — Deepgram deepens Amazon SageMaker AI observability with Enhanced Metrics | Amazon Web Services
Save

Deepgram has enhanced observability for self-hosted speech AI on Amazon SageMaker AI by integrating new metrics into Amazon CloudWatch. This update addresses a common challenge where critical data for capacity planning and cost management remained within vendor containers.

Key Points

  • Deepgram now provides two new capabilities for Amazon SageMaker AI.
  • These capabilities deliver billing metrics directly to Amazon CloudWatch accounts.
  • Usage metrics are also sent to Amazon CloudWatch accounts.
  • Per-GPU metrics are now available within Amazon CloudWatch accounts.
  • The integration aims to address the observability trade-off in self-hosted speech AI.

Context

According to the AWS Machine Learning Blog, self-hosted speech AI solutions often keep essential data for capacity planning and cost management confined within vendor containers. Deepgram's new offerings aim to bridge this gap by making these metrics accessible within a customer's own Amazon CloudWatch environment.

Why It Matters

This integration provides builders with direct access to operational data, which can inform capacity planning and cost management for speech AI deployments on Amazon SageMaker AI. The availability of billing, usage, and per-GPU metrics can lead to more informed resource allocation decisions.

What To Do

  • Review your Amazon CloudWatch dashboards for new Deepgram-provided metrics.
  • Compare billing and usage data to current capacity planning strategies.
  • Monitor per-GPU metrics to optimize resource utilization for speech AI workloads.