Cloud Equivalents

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

Amazon SageMaker HyperPod vs Agent Platform training clusters

SageMaker HyperPod maps to Agent Platform training clusters: persistent, reserved accelerator clusters orchestrated with Slurm.

Partial match Use it to: Run weeks-long training of foundation models on thousands of accelerators, with automatic recovery from hardware faults.

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Side-by-side comparison

Resilient large-scale FM training clusters: AWS vs Google Cloud side by side
AspectAmazon Web ServicesGoogle Cloud
ServiceAmazon SageMaker HyperPodAgent Platform training clusters
LifecycleGenerally availableDocs direct you to your Google Cloud sales contact to get access.
What it isPersistent, resilient clusters for large-scale foundation-model training and inference, orchestrated with Slurm or Amazon EKS. Supports Trainium and NVIDIA (including NVL72 UltraServers).Persistent, reserved accelerator clusters with Slurm orchestration and resiliency features for large-scale training.
Pricing modelPer-instance-hour for cluster nodes, with flexible training plans for reserved capacity.Reserved accelerator capacity billed for the reservation term. Contact sales for terms.
DocsAmazon SageMaker HyperPod docsAgent Platform training clusters docs
Pricing pageAmazon SageMaker HyperPod pricingAgent Platform training clusters pricing

Key differences

  • Training clusters are obtained through your Google Cloud sales contact rather than self-service.
  • HyperPod supports both Slurm and EKS orchestration. On Google Cloud, the Kubernetes path is GKE with accelerators, and Ray on Agent Platform is another option.

Pricing summary

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

AWS
Per-instance-hour for cluster nodes, with flexible training plans for reserved capacity. Amazon SageMaker HyperPod pricing →
GCP
Reserved accelerator capacity billed for the reservation term. Contact sales for terms. Agent Platform training clusters pricing →

And on Azure?

Partial match Azure's equivalent is Azure ML compute clusters & serverless compute, Azure Kubernetes Service (AKS), Azure ML on Kubernetes (AKS / Arc). AWS vs Azure comparison →

FAQ

What is the Google Cloud equivalent of Amazon SageMaker HyperPod?

SageMaker HyperPod maps to Agent Platform training clusters: persistent, reserved accelerator clusters orchestrated with Slurm.

How does pricing compare between Amazon SageMaker HyperPod and Agent Platform training clusters?

AWS: Per-instance-hour for cluster nodes, with flexible training plans for reserved capacity. Google Cloud: Reserved accelerator capacity billed for the reservation term. Contact sales for terms. Check the official pricing pages for current rates.

What is the Azure equivalent?

Azure ML compute clusters & serverless compute, Azure Kubernetes Service (AKS) and Azure ML on Kubernetes (AKS / Arc) (partial match). Azure has no single managed equivalent of SageMaker HyperPod.

Related AWS vs GCP comparisons

Official sources