Amazon SageMaker HyperPod

awsBig data clusteraws-sagemaker-hyperpod

Resilient accelerator cluster for training and serving foundation models.

Provider
aws
Category
Compute
Properties · 2 set by this component
propertytypevaluesrequiredkind defaultthis component
autoResume · component propertyboolean—no—inherited
autoscalingboolean—nofalseinherited
engineenumspark | hadoop | presto | flink | hpc | ray | dask | kubernetes-batchno—inherited
managedboolean—nofalse▸ true
orchestrator · component propertyenumslurm | eksno—inherited
runtimeVersionstring—no—inherited
sharedFileSystem · component propertyenumfsx-lustre | noneno—inherited
spotInstancesboolean—nofalse▸ false
topologyAwareScheduling · component propertyboolean—no—inherited
workerNodesinteger—no—inherited
zoneRedundantboolean—no—inherited
Rules that apply · 1

Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.

stateful-node-without-zone-redundancy

A stateful compute node pinned to exactly one availability zone disappears with that zone, and its state goes with it. Nodes inside a cell are exempt, because there the cell is deliberately single-zone and redundancy comes from the other cells.

  • — all of these hold:
  • — the node's `stateless` is false
  • — the node sits inside exactly 1 availability-zone group
  • — this does not hold:
  • — the node sits inside at least one cell group
Use it in a design
nodes:
  - { id: "sagemaker-hyperpod", component: "aws-sagemaker-hyperpod" }
Other Big data cluster products · 25
Source
# yaml-language-server: $schema=../../schema/component.schema.json
# Amazon SageMaker HyperPod cluster: a long-running, resilient accelerator cluster for training and
# serving foundation models. "Amazon SageMaker HyperPod" says the cluster is orchestrated either by
# Slurm or by an Amazon EKS control plane (one EKS cluster to one HyperPod cluster inside a VPC), and
# that HyperPod monitors the instances and replaces faulty hardware so that running jobs resume.
schemaVersion: "1"
type: "component"
id: "aws-sagemaker-hyperpod"
kind: "big-data-cluster"
provider: "aws"
docs: "https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-hyperpod.html"
defaults:
  managed: true
  spotInstances: false
properties:
  orchestrator:
    type: "enum"
    values: ["slurm", "eks"]
  autoResume:
    type: "boolean"
  sharedFileSystem:
    type: "enum"
    values: ["fsx-lustre", "none"]
  topologyAwareScheduling:
    type: "boolean"

The same page as markdown, for an agent: /catalogue/components/aws-sagemaker-hyperpod.md