Amazon SageMaker HyperPod
Resilient accelerator cluster for training and serving foundation models.
- Provider
- aws
- Kind
- Big data cluster
- Category
- Compute
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| autoResume | boolean | — | no | — | inherited |
| autoscaling | boolean | — | no | false | inherited |
| engine | enum | spark | hadoop | presto | flink | hpc | ray | dask | kubernetes-batch | no | — | inherited |
| managed | boolean | — | no | false | ▸ true |
| orchestrator | enum | slurm | eks | no | — | inherited |
| runtimeVersion | string | — | no | — | inherited |
| sharedFileSystem | enum | fsx-lustre | none | no | — | inherited |
| spotInstances | boolean | — | no | false | ▸ false |
| topologyAwareScheduling | boolean | — | no | — | inherited |
| workerNodes | integer | — | no | — | inherited |
| zoneRedundant | boolean | — | no | — | inherited |
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
nodes:
- { id: "sagemaker-hyperpod", component: "aws-sagemaker-hyperpod" }Elastic High Performance Computingalibaba-e-hpcE-MapReducealibaba-e-mapreduceAWS Clean Roomsaws-clean-roomsAmazon EMRaws-emrAmazon EMR Serverlessaws-emr-serverlessAWS Parallel Computing Serviceaws-pcsAzure CycleCloudazure-cyclecloudAzure Databricksazure-databricksAzure HDInsightazure-hdinsightArmadaarmadaGeneric big data clusterbig-data-clusterDaskdaskDatabricksdatabricksApache Hadoop YARNhadoop-yarnRayraySlurmslurmApache Spark clusterspark-clusterVolcanovolcanoCluster Directorgoogle-cluster-directorDataprocgoogle-dataprocManaged Service for Apache Spark (serverless)google-dataproc-serverlessIBM Analytics Engineibm-analytics-engineOCI AI Data Platformoci-ai-data-platformOCI Big Data Serviceoci-big-data-serviceOCI Data Flowoci-data-flow
# 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"