Amazon SageMaker HyperPod
A distributed cluster infrastructure service from Amazon designed for large-scale machine learning training. It supports multi-team GPU cluster sharing and provides capacity quota management, priority scheduling, and access governance capabilities.
Timeline (last 90 days)
Amazon SageMaker HyperPod provides a reference architecture for sharing GPU clusters across teams, addressing the core challenges of multi-tenant single-pool scenarios through a combination of identity authentication, namespace isolation, task governance, and cost allocation.
HyperPod's governance structure is broken down into four control layers: the organizational layer, the project layer, the cluster layer, and the workload layer.
HyperPod governance is managed centrally through Amazon SageMaker Unified Studio.
HyperPod supports quota management and priority scheduling for shared cluster capacity.
Amazon SageMaker HyperPod is a distributed cluster infrastructure for large-scale machine learning training.
When a quota owner submits a new task, the scheduler reclaims resources by priority and reallocates them, enabling overselling and borrowing of idle quotas.
Amazon recently published a HyperPod governance methodology covering infrastructure boundary design, access governance, capacity allocation, and cross-organizational operations.
The official recommendation is to operate HyperPod across all control layers in a unified manner to avoid configuration drift and policy inconsistencies.
In HyperPod's EKS mode, ResourceQuota objects can limit the maximum number of GPUs for each namespace (corresponding to a project).
All Facts (9)
Amazon SageMaker HyperPod provides a reference architecture for sharing GPU clusters across teams, addressing the core challenges of multi-tenant single-pool scenarios through a combination of identity authentication, namespace isolation, task governance, and cost allocation.
50%UnverifiedHyperPod's governance structure is broken down into four control layers: the organizational layer, the project layer, the cluster layer, and the workload layer.
50%UnverifiedHyperPod governance is managed centrally through Amazon SageMaker Unified Studio.
50%UnverifiedHyperPod supports quota management and priority scheduling for shared cluster capacity.
50%UnverifiedAmazon SageMaker HyperPod is a distributed cluster infrastructure for large-scale machine learning training.
50%UnverifiedWhen a quota owner submits a new task, the scheduler reclaims resources by priority and reallocates them, enabling overselling and borrowing of idle quotas.
50%UnverifiedThe official recommendation is to operate HyperPod across all control layers in a unified manner to avoid configuration drift and policy inconsistencies.
50%UnverifiedIn HyperPod's EKS mode, ResourceQuota objects can limit the maximum number of GPUs for each namespace (corresponding to a project).
50%UnverifiedAmazon recently published a HyperPod governance methodology covering infrastructure boundary design, access governance, capacity allocation, and cross-organizational operations.
50%