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 9,000 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.
Data protection
Managed Lustre encrypts data at rest and data in transit.
Encryption at rest
All data stored in a Managed Lustre file system is encrypted at rest.
For more information, see Encryption at rest.
Encryption in transit
While the Lustre protocol itself doesn't encrypt traffic between clients and servers, all in-transit data to and within Google Cloud is encrypted. This includes data transfers between Managed Lustre and Cloud Storage.
For more information, see Encryption in transit.
Pricing
See the Pricing page for details.