May 30, 2024


Right now, we’re excited to announce the overall 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 social gathering managed service on Azure. Very long time customers of Lustre on-premises can now leverage the advantages of an entire HPC answer, 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 may now give attention to their enterprise imperatives.

Want for Azure Managed Lustre

Lustre, one of the vital in style 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 answer, 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 knowledge, Lustre has discovered a renewed progress in its adoption. Prospects in industries leveraging excessive efficiency computing are searching 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 permits:

  • A managed PaaS expertise for worry-free deployment and consumption of Lustre file system.
  • Diminished 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 downside 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 knowledge residency necessities.
  • Area of selection for deployments throughout many Azure areas, supporting compliance and knowledge residency necessities.
  • Scalability to tons of of petabytes (PB), with the related sturdiness, availability and price advantages of tiering to Azure Blob storage.
  • Seamless integration with current Azure compute companies together with Azure HPC companies, Azure Machine Studying and Azure Kubernetes service.
  • Funding safety for patrons’ current automation and platform improvement when migrating from on-premises Lustre deployments.

Right now, two persistent sturdy situations can be found for patrons to make use of. These are based mostly on stable state drives (SSDs) that are differentiated by their efficiency choice delivered for provisioned Tebibyte of capability.

  • AMLFS Normal – 125 MB/s
  • AMLFS Premium – 250 MB/s

Customers of Azure Managed Lustre can obtain the Lustre shopper packages from for his or her desired Linux distribution and kernel model. Moreover, we may have help for HPC photos prebuilt with Lustre shopper packages for Ubuntu – 18.04, 20.04, 22.04, and Alma eight.7. 

Azure Managed Lustre is out there at present from the Azure portal in a number of areas. To maintain updated on what areas you need to use, please consult with our merchandise accessible by area web page. To study extra about pricing, please go to our pricing web page.

Prospects 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’re operating instruments to simulate 3D product fashions to speed up time-to-market, serving hundreds of customers querying monetary data on knowledge analytics platforms, or constructing the following AI supercomputer to your generative AI answer. 

Petronas logo

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 massive knowledge 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 fulfill 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 Basic Supervisor

meteomatics logo

Meteomatics, a pacesetter 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 permits Meteomatics to deploy their HPC clusters rapidly and programmatically permitting them to ship worth to their finish clients searching for quick and constant entry to climate knowledge.

“At Meteomatics, we depend on excessive efficiency computing (HPC) to run advanced numerical climate prediction fashions, delivering correct forecasts to our clients. By leveraging Lustre, a trusted file system within the HPC neighborhood, and the seamless deployment of LustreFS, we acquire the excessive variety of IOPS and throughput essential for dealing with huge knowledge volumes. Azure Managed Lustre accelerates our climate forecast simulations with a excessive spatial and temporal decision, considerably lowering time-to-completion and enabling sooner supply of forecast knowledge to our valued clients.“—Dr. Martin Fengler, CEO Meteomatics

Duke Clinical Research Institute logo

Duke Medical Analysis Institute was searching for a scalable answer for his or her excessive I/O must help their analytics instruments serving medical analysis. Azure Managed Lustre addressed that want with a easy deployment mannequin permitting them to give attention to offering worth to their clients rapidly. I see the easy simplicity and energy of AMLFS as the last word selection for high-speed shared storage, empowering your analytics instruments with unequalled simplicity and flexibility for each speedy 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, by a easy interface throughout the buyer digital community. Prospects don’t need to be involved in regards to 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).

Diagram showing the Azure Managed Lustre File System service topology.

The Azure portal affords a easy interface to configure and deploy Azure Managed Lustre, the place clients present some inputs like useful resource group id, subnet ID, cluster measurement, and desired efficiency choices. Customers have the power to watch and observe their cluster efficiency with throughput, latency, and IOPS metrics.

Screen shot of Azure Managed Lustre preview registration page.
Screen shot of Azure Amanged Lustre in a demo state, showing performance mentrics.

Hierarchical storage administration performance in Azure Managed Lustre permits customers to seamlessly switch knowledge between Azure Managed Lustre and Azure Blob. This empowers customers to ascertain knowledge archival, retention, and safety methods. When coping with massive datasets, customers can import solely the information that’s at the moment lively and essential for his or her knowledge processing duties into Azure Managed Lustre clusters, whereas archiving and retaining the remaining knowledge in Azure Blob. This strategy successfully minimizes runtime prices. Moreover, by using knowledge tiering to Azure Blob, customers can benefit from its world presence and availability to create Azure Managed Lustre clusters in a number of areas as wanted. The mixing with Azure Blob additionally facilitates the accessibility of information by a number of protocols, reminiscent of community file programs (NFS), hadoop distributed file system (HDFS), and REST.

We’re additionally very excited to announce the overall availability of the CSI driver for Azure Managed Lustre. Now, containerized purposes operating on Azure Kubernetes Service can simply devour Azure Managed Lustre.

Subsequent steps

Study extra about learn how to use Azure Managed Lustre and its numerous supported options from our documentation.

Study extra about HPC and AI options


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