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At this time, we’re excited to announce the overall availability of Azure Managed Lustre, a managed excessive efficiency parallel file system for top efficiency computing (HPC) and AI workloads. Azure Managed Lustre delivers the time-tested Lustre file system as a primary occasion managed service on Azure. Very long time customers of Lustre on-premises can now leverage the advantages of a whole 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 deal with their enterprise imperatives.
Want for Azure Managed Lustre
Lustre, one of the standard 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 current explosive development 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 development 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 totally different pricing ranges for various workloads.
- Straightforward deployment of impartial 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 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 providers together with Azure HPC providers, Azure Machine Studying and Azure Kubernetes service.
- Funding safety for purchasers’ current automation and platform growth when migrating from on-premises Lustre deployments.
At this time, two persistent sturdy situations can be found for purchasers to make use of. These are based mostly on strong state drives (SSDs) that are differentiated by their efficiency possibility delivered for provisioned Tebibyte of capability.
- AMLFS Commonplace – 125 MB/s
- AMLFS Premium – 250 MB/s
Customers of Azure Managed Lustre can obtain the Lustre shopper packages from packages.microsoft.com for his or her desired Linux distribution and kernel model. Moreover, we may have assist for HPC photographs prebuilt with Lustre shopper packages for Ubuntu – 18.04, 20.04, 22.04, and Alma 8.7.
Azure Managed Lustre is on the market in the present day from the Azure portal in a number of areas. To maintain updated on what areas you should utilize, please check with our merchandise obtainable 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 top throughput storage entry inside power, life sciences, meteorology, automotive, healthcare, and public sector industries.
Azure Managed Lustre has you coated whether or not you’re operating instruments to simulate 3D product fashions to speed up time-to-market, serving 1000’s of customers querying monetary info on knowledge analytics platforms, or constructing the following AI supercomputer to your generative AI answer.
When Petronas, a world chief in power, wanted to speed up their upstream power analysis with extremely complicated quantitative interpretation of seismic processing workloads that want giant knowledge units to be fed to the compute VMs with very excessive throughput, they selected Azure Managed Lustre.
“Azure Managed Lustre is an excellent 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 providers.”—Faizal B Zainol Alam, PETRONAS Digital Normal Supervisor
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 allows Meteomatics to deploy their HPC clusters shortly and programmatically permitting them to ship worth to their finish prospects on the lookout for quick and constant entry to climate knowledge.
“At Meteomatics, we depend on excessive efficiency computing (HPC) to run complicated 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 knowledge volumes. Azure Managed Lustre accelerates our climate forecast simulations with a excessive spatial and temporal decision, considerably lowering time-to-completion and enabling quicker supply of forecast knowledge to our valued prospects.“—Dr. Martin Fengler, CEO Meteomatics
“Duke Scientific Analysis Institute was on the lookout for a scalable answer 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 deal with offering worth to their prospects shortly. 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 fast and long-term wants.“—Emilio Energy, Analysis Analytics Lead, SAS System Architect, Duke Scientific Analysis Institute
Utilizing Azure Managed Lustre
Azure Managed Lustre is delivered in a hosted-on-behalf-of subscription, by means of a easy interface inside the buyer digital community. Clients 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).
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 measurement, and desired efficiency choices. Customers have the power to watch and observe their cluster efficiency with throughput, latency, and IOPS metrics.
Hierarchical storage administration performance in Azure Managed Lustre allows customers to seamlessly switch knowledge between Azure Managed Lustre and Azure Blob. This empowers customers to determine knowledge archival, retention, and safety methods. When coping with giant datasets, customers can import solely the information that’s presently energetic 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 reap the benefits of 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 knowledge by means of a number of protocols, equivalent to community file methods (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 eat Azure Managed Lustre.
Subsequent steps
Study extra about use Azure Managed Lustre and its varied supported options from our documentation.
Study extra about HPC and AI options
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