Cloud Equivalents

ML platform (SageMaker AI ↔ Azure ML) · AWS vs Google Cloud

SageMaker AI inference (endpoints) vs Agent Platform inference (endpoints)

SageMaker inference maps to Agent Platform inference: online endpoints and batch inference for your own or Model Garden models.

Direct match Use it to: Serve trained models behind an HTTPS endpoint for real-time or batch predictions.

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Side-by-side comparison

Model hosting & inference endpoints: AWS vs Google Cloud side by side
AspectAmazon Web ServicesGoogle Cloud
ServiceSageMaker AI inference (endpoints)Agent Platform inference (endpoints)
LifecycleGenerally availableGenerally available
What it isReal-time, serverless, asynchronous, and batch-transform inference options.Online endpoints and batch inference for your own or Model Garden models, on CPU, GPU, or TPU nodes.
Pricing modelPer-second instance billing for real-time/async endpoints, per-request + duration for serverless, and per-instance time for batch.Billed per node-hour for the machine type and accelerators you choose, plus storage. Prices vary by region.
DocsSageMaker AI inference (endpoints) docsAgent Platform inference (endpoints) docs
Pricing pageSageMaker AI inference (endpoints) pricingAgent Platform inference (endpoints) pricing

Key differences

  • Endpoints autoscale between the minimum and maximum node counts you set.
  • Batch inference is a separate job type, like SageMaker Batch Transform.

Pricing summary

Pricing models only. No prices are quoted because they change by region and over time.

AWS
Per-second instance billing for real-time/async endpoints, per-request + duration for serverless, and per-instance time for batch. SageMaker AI inference (endpoints) pricing →
GCP
Billed per node-hour for the machine type and accelerators you choose, plus storage. Prices vary by region. Agent Platform inference (endpoints) pricing →

And on Azure?

Direct match Azure's equivalent is Azure ML online & batch endpoints. AWS vs Azure comparison →

FAQ

What is the Google Cloud equivalent of SageMaker AI inference (endpoints)?

SageMaker inference maps to Agent Platform inference: online endpoints and batch inference for your own or Model Garden models.

How does pricing compare between SageMaker AI inference (endpoints) and Agent Platform inference (endpoints)?

AWS: Per-second instance billing for real-time/async endpoints, per-request + duration for serverless, and per-instance time for batch. Google Cloud: Billed per node-hour for the machine type and accelerators you choose, plus storage. Prices vary by region. Check the official pricing pages for current rates.

What is the Azure equivalent?

Azure ML online & batch endpoints (direct match). SageMaker AI endpoints map to Azure Machine Learning managed online endpoints (real-time), batch endpoints, and serverless deployments.

Related AWS vs GCP comparisons

Official sources