In the present day, we’re excited to announce the final availability of Azure Managed Lustre, a managed excessive efficiency parallel file system for prime efficiency computing (HPC) and AI workloads. Azure Managed Lustre delivers the time-tested Lustre file system as a primary celebration managed service on Azure. Very long time customers of Lustre on-premises can now leverage the advantages of a whole HPC resolution, together with compute and excessive efficiency storage, delivered on Azure. Customers profit from the excessive throughput and efficiency capabilities of Lustre as a seamless managed expertise and might now give attention to their enterprise imperatives.
Want for Azure Managed Lustre
Lustre, probably the most well-liked distributed parallel filesystems within the HPC world has lengthy been deployed on-premises serving scalable and excessive throughput storage wants of HPC workloads. As an open-source resolution, it has loved a thriving ecosystem of customers and builders. With the latest explosive progress seen in generative AI and the necessity for a excessive throughput storage that retains the costly GPU cores from ready on information, Lustre has discovered a renewed progress in its adoption. Clients in industries leveraging excessive efficiency computing are on the lookout for a seamless end-to-end infrastructure encompassing compute, storage, and networking that’s each quick to deploy and simple to make use of.
Azure Managed Lustre allows:
- A managed PaaS expertise for worry-free deployment and consumption of Lustre file system.
- Decreased TCO with pay-as-you-go pricing.
- Throughput choices at completely different pricing ranges for various workloads.
- Simple deployment of unbiased clusters with predictable efficiency, eliminating the noisy neighbor drawback generally skilled in on-premises Lustre deployments.
- Fast deployment in a couple of minutes, assuaging the necessity to plan months or years prematurely and assembly compliance and information residency necessities.
- Area of alternative for deployments throughout many Azure areas, supporting compliance and information residency necessities.
- Scalability to a whole lot of petabytes (PB), with the related sturdiness, availability and value advantages of tiering to Azure Blob storage.
- Seamless integration with present Azure compute companies together with Azure HPC companies, Azure Machine Studying and Azure Kubernetes service.
- Funding safety for purchasers’ present automation and platform improvement when migrating from on-premises Lustre deployments.
In the present day, two persistent sturdy situations can be found for purchasers to make use of. These are primarily based on stable state drives (SSDs) that are differentiated by their efficiency possibility delivered for provisioned Tebibyte of capability.
- AMLFS Customary – 125 MB/s
- AMLFS Premium – 250 MB/s
Customers of Azure Managed Lustre can obtain the Lustre consumer packages from packages.microsoft.com for his or her desired Linux distribution and kernel model. Moreover, we could have assist for HPC photos prebuilt with Lustre consumer packages for Ubuntu – 18.04, 20.04, 22.04, and Alma 8.7.
Azure Managed Lustre is out there immediately from the Azure portal in a number of areas. To maintain updated on what areas you should utilize, please consult with our merchandise out there by area web page. To study extra about pricing, please go to our pricing web page.
Clients are already seeing outcomes with Azure Managed Lustre
Azure Managed Lustre serves numerous companies and organizations who’ve the necessity for prime throughput storage entry inside power, life sciences, meteorology, automotive, healthcare, and public sector industries.
Azure Managed Lustre has you lined whether or not you might be working instruments to simulate 3D product fashions to speed up time-to-market, serving hundreds of customers querying monetary data on information analytics platforms, or constructing the following AI supercomputer in your generative AI resolution.
When Petronas, a world chief in power, wanted to speed up their upstream power analysis with extremely advanced quantitative interpretation of seismic processing workloads that want giant information units to be fed to the compute VMs with very excessive throughput, they selected Azure Managed Lustre.
“Azure Managed Lustre is an impressive file system that has been particularly crafted to satisfy the distinctive necessities of PETRONAS’ excessive efficiency computing (HPC) and AI workloads. It delivers distinctive efficiency, offering excessive storage bandwidth and seamlessly integrating with important Azure companies.”—Faizal B Zainol Alam, PETRONAS Digital Normal Supervisor
Meteomatics, a frontrunner and disruptor in democratizing climate intelligence wanted a excessive efficiency file system for his or her climate modeling and simulations, they picked Azure Managed Lustre for his or her wants. Azure Managed Lustre’s integration with Azure CycleCloud allows Meteomatics to deploy their HPC clusters rapidly and programmatically permitting them to ship worth to their finish prospects on the lookout for quick and constant entry to climate information.
“At Meteomatics, we depend on excessive efficiency computing (HPC) to run advanced numerical climate prediction fashions, delivering correct forecasts to our prospects. By leveraging Lustre, a trusted file system within the HPC group, and the seamless deployment of LustreFS, we acquire the excessive variety of IOPS and throughput essential for dealing with huge information volumes. Azure Managed Lustre accelerates our climate forecast simulations with a excessive spatial and temporal decision, considerably decreasing time-to-completion and enabling quicker supply of forecast information to our valued prospects.“—Dr. Martin Fengler, CEO Meteomatics
“Duke Medical Analysis Institute was on the lookout for a scalable resolution for his or her excessive I/O must assist their analytics instruments serving scientific analysis. Azure Managed Lustre addressed that want with a easy deployment mannequin permitting them to give attention to offering worth to their prospects rapidly. I see the easy simplicity and energy of AMLFS as the final word alternative for high-speed shared storage, empowering your analytics instruments with unmatched simplicity and flexibility for each fast and long-term wants.“—Emilio Energy, Analysis Analytics Lead, SAS System Architect, Duke Medical Analysis Institute
Utilizing Azure Managed Lustre
Azure Managed Lustre is delivered in a hosted-on-behalf-of subscription, via a easy interface throughout the buyer digital community. Clients don’t need to be involved concerning the internals of deploying, managing, and working the Lustre file system together with metadata servers/targets (MDS/MDT), administration servers/targets (MGS/MGT) and object storage servers/targets (OSS/OSTs).
The Azure portal presents a easy interface to configure and deploy Azure Managed Lustre, the place prospects present some inputs like useful resource group id, subnet ID, cluster dimension, and desired efficiency choices. Customers have the power to observe and observe their cluster efficiency with throughput, latency, and IOPS metrics.
Hierarchical storage administration performance in Azure Managed Lustre allows customers to seamlessly switch information between Azure Managed Lustre and Azure Blob. This empowers customers to ascertain information archival, retention, and safety methods. When coping with giant datasets, customers can import solely the info that’s presently energetic and essential for his or her information processing duties into Azure Managed Lustre clusters, whereas archiving and retaining the remaining information in Azure Blob. This strategy successfully minimizes runtime prices. Moreover, by using information tiering to Azure Blob, customers can reap the benefits of its international presence and availability to create Azure Managed Lustre clusters in a number of areas as wanted. The combination with Azure Blob additionally facilitates the accessibility of information via a number of protocols, comparable to community file methods (NFS), hadoop distributed file system (HDFS), and REST.
We’re additionally very excited to announce the final availability of the CSI driver for Azure Managed Lustre. Now, containerized purposes working on Azure Kubernetes Service can simply eat Azure Managed Lustre.
Subsequent steps
Be taught extra about the best way to use Azure Managed Lustre and its numerous supported options from our documentation.
