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Amazon SageMaker AI

Track Amazon SageMaker AI from Amazon across releases, features, integrations, pricing changes, and related AI models. This page updates automatically as substantive Superpower Daily coverage is published.

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Amazon

Published3

Launches1

Pricing0

Benchmarks0

Latest coverageSalesforce Uses SageMaker Placement Controls to Meet 2-AZ Agentforce Standard, Keep 8x Savings

Published coverage3 stories

Last 90 days3 updates

Coverage dates3 days

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Latest coverage

What changed around Amazon SageMaker AI.

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YesterdayProducts

LaunchProducts

Deepgram Sends SageMaker Billing and GPU Metrics to CloudWatch Without Container Egress

The release makes vendor-level cost and capacity signals visible inside AWS tools, but teams still need different metric streams for billing, feature usage and an individual endpoint’s GPU headroom.

3 min

Aug 26, 2026Tools

Platform shiftTools

SageMaker SDK v3 Lets Teams Change Model Code Without Rebuilding Container Images

The new workflow treats the container as a reusable runtime and sends local code into it when a job starts. That can shorten script-level iteration, while leaving teams responsible for images, permissions and storage.

2 min

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Launches, pricing, and proof.

011 records

Launches and releases

Deepgram Sends SageMaker Billing and GPU Metrics to CloudWatch Without Container EgressYesterday

020 records

Pricing and access

No material pricing update yet.

030 records

Benchmarks and evaluations

No substantive benchmark coverage yet.

Update timeline

The maintained record.

Platform shift1 hour agoSalesforce Uses SageMaker Placement Controls to Meet 2-AZ Agentforce Standard, Keep 8x SavingsThe configuration separates model-level resilience from an endpoint’s infrastructure footprint, but balanced placement still depends on GPU capacity in each target Availability Zone.LaunchYesterdayDeepgram Sends SageMaker Billing and GPU Metrics to CloudWatch Without Container EgressThe release makes vendor-level cost and capacity signals visible inside AWS tools, but teams still need different metric streams for billing, feature usage and an individual endpoint’s GPU headroom.Platform shiftAug 26, 2026SageMaker SDK v3 Lets Teams Change Model Code Without Rebuilding Container ImagesThe new workflow treats the container as a reusable runtime and sends local code into it when a job starts. That can shorten script-level iteration, while leaving teams responsible for images, permissions and storage.

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