aws-fsx
CommunityTune FSx Lustre on Kubernetes for ML.
Authortylertitsworth
Version1.0.0
Installs0
System Documentation
What problem does it solve?
FSx for Lustre on Kubernetes is a complex, high-throughput shared storage solution. This guide explains architecture, deployment patterns, and integration points to help ML workflows run reliably at scale.
Core Features & Use Cases
- Understand MDT/OST architecture and how to optimize striping, throughput, and metadata IOPS for ML training.
- Configure Data Repository Associations (DRA) to link S3 data to Lustre filesystems and enable lazy loading.
- Deploy FSx for Lustre on EKS using the CSI driver, manage encryption, backups, and GPUDirect Storage (GDS) support.
- Troubleshoot common performance and mount issues on Kubernetes clusters.
Quick Start
Mount FSx for Lustre on your EKS cluster and run a small test workload to validate throughput.
Dependency Matrix
Required Modules
None requiredComponents
references
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