Google Cloud Managed Lustre delivers a high-performance, fully managed parallel file system optimized for AI and HPC applications. With multi-petabyte-scale capacity and up to 1 TBps throughput, Managed Lustre facilitates the migration of demanding workloads to the cloud.
Highlights
- Developed in collaboration with DDN, the leading provider and primary maintainer of the Lustre file system.
- Supports extreme IOPs and low latency.
- POSIX compliance ensures compatibility with existing applications, tools, and workflows.
- Integrated with Compute Engine and Google Kubernetes Engine, allowing you to mount high-performance storage to your virtual machines and containerized applications.
- Provides high-speed and fully managed transfers into and out of Cloud Storage.
Specifications
| Metric | Result |
|---|---|
| Storage capacity | From 18,000 GiB up to ~8 PiB (7,632,000 GiB) |
| Throughput | Up to 1 TBps |
| IOPS | Thousands of IOPS per TiB |
| Maximum file size | 0.5 PiB |
Use Cases
High-performance computing: Managed Lustre excels in HPC environments where multiple compute nodes need fast and consistent access to shared data for simulations, modeling, and analysis.
Machine learning: Managed Lustre can handle the large datasets and high throughput requirements of machine learning workloads, enabling efficient training and inference.
Pricing
See the Pricing page for details.