Managed high-performance parallel file system for HPC and ML workloads.
What is Google Cloud Managed Lustre?
Google Cloud Managed Lustre is a fully managed parallel file system for workloads with extreme I/O requirements. Based on open-source Lustre technology, the service provides the high throughput and low latency required for High-Performance Computing (HPC), machine learning training, and scientific simulations.
Lustre is the file system of choice for the world’s most powerful supercomputers. Google Cloud Managed Lustre brings this technology to the cloud as a managed service: automatic provisioning, scaling, and management of the file system without teams needing to build Lustre expertise.
The service integrates seamlessly with Compute Engine, GKE, and Batch. Compute nodes mount the Lustre file system over the network and access data in parallel. This enables hundreds or thousands of VMs to access the same dataset simultaneously without I/O bottlenecks.
Core Features
- Parallel Access: Hundreds of compute nodes access the same file system simultaneously
- High Throughput: Scales to hundreds of GB/s aggregate throughput for large datasets
- Low Latency: Sub-millisecond latency for fast data processing
- Fully Managed: Automatic provisioning, scaling, and maintenance without Lustre expertise
Typical Use Cases
Machine Learning Training
ML training jobs with large datasets benefit from Managed Lustre. GPU clusters load training data with high throughput from the file system, maximizing GPU utilization and reducing training time.
High-Performance Computing and Simulations
HPC workloads such as genomics analysis, financial modeling, and engineering simulations require parallel access to large datasets. Managed Lustre provides the I/O performance these applications need for efficient execution.
Benefits
- Extremely high throughput for I/O-intensive workloads
- No Lustre expertise required
- Seamless integration with Compute Engine, GKE, and Batch
- Reduced training time for ML models through faster data access
Integration with innFactory
As a Google Cloud partner, innFactory supports you with Google Cloud Managed Lustre: HPC architecture design, ML training pipeline optimization, storage sizing, and integration with existing compute workloads.
Typical Use Cases
Frequently Asked Questions
What is Google Cloud Managed Lustre?
Google Cloud Managed Lustre is a fully managed parallel file system based on open-source Lustre technology. It provides extremely high throughput and low latency for HPC and ML workloads without requiring you to manage your own Lustre infrastructure.
Which workloads is Managed Lustre suited for?
Managed Lustre is suited for workloads with high I/O requirements such as ML training, genomics analysis, financial modeling, simulations, and media rendering. The service is ideal when many compute nodes need to access large datasets simultaneously.
How does Managed Lustre differ from Filestore?
Filestore provides NFS file storage for general workloads. Managed Lustre provides a parallel file system with significantly higher throughput for HPC and ML. Lustre scales to hundreds of GB/s throughput and millions of IOPS.
