List of Microsoft Azure Managed Lustre Customers
Microsoft
One Microsoft Way,
Redmond, 98052-6399, WA,
United States
Redmond, 98052-6399, WA,
United States
1 425-882-8080
Professional Services
221000
$243.0B
Since 2010, our global team of researchers has been studying Microsoft Azure Managed Lustre customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Microsoft Azure Managed Lustre for Cloud Storage from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Microsoft Azure Managed Lustre for Cloud Storage include: Petronas, a Malaysia based Oil, Gas and Chemicals organisation with 52157 employees and revenues of $78.90 billion, Polestar, a Sweden based Automotive organisation with 2547 employees and revenues of $2.03 billion, Duke Clinical Research Institute, a United States based Healthcare organisation with 1300 employees and revenues of $173.0 million, Meteomatics, a Germany based Professional Services organisation with 60 employees and revenues of $6.0 million and many others.
Contact us if you need a completed and verified list of companies using Microsoft Azure Managed Lustre, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Microsoft Azure Managed Lustre customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Duke Clinical Research Institute | Healthcare | 1300 | $173M | United States | Microsoft | Microsoft Azure Managed Lustre | Cloud Storage | 2023 | n/a |
In 2023, Duke Clinical Research Institute deployed Microsoft Azure Managed Lustre to address high I/O requirements for clinical research analytics, using the service classified under the Cloud Storage category. Microsoft Azure Managed Lustre was adopted to provide a managed high performance parallel file system for analytics tools serving clinical research, with Duke citing a simple deployment model that allowed teams to focus on delivering value to customers quickly.
The implementation used the Microsoft Azure Managed Lustre managed PaaS model, which abstracts Lustre internals including metadata servers and object storage targets, and offers distinct performance tiers. Duke provisioned clusters with the available AMLFS Standard and AMLFS Premium throughput options, and leveraged hierarchical storage management and data tiering to Azure Blob to manage hot datasets and archival data at scale. The deployment model supports scalability and predictable throughput for high-throughput workloads common in research analytics.
Operationally the service was provisioned in a hosted-on-behalf-of subscription within the customer virtual network, configured through the Azure portal by specifying resource group id, subnet ID, cluster size, and performance option. Duke monitored cluster health and performance using portal metrics for throughput, latency, and IOPS, and consumed prebuilt HPC images with Lustre client packages for supported Linux distributions including Ubuntu 18.04, 20.04, 22.04, and Alma 8.7. Integration points included native connectivity patterns with Azure compute services, Azure Machine Learning, and Azure Kubernetes Service, with the CSI driver enabling containerized workloads on AKS to mount Lustre storage.
Governance and operational changes centered on shifting Lustre operational responsibility to the managed service, reducing the need for in-house management of MDS, MGS, and OSS components and simplifying cluster lifecycle workflows. Duke reported that Azure Managed Lustre addressed their scalability and throughput needs while enabling their research analytics teams to concentrate on analytics delivery rather than storage operations, positioning Microsoft Azure Managed Lustre as the Cloud Storage component supporting clinical research analytics workflows.
|
 |
Meteomatics | Professional Services | 60 | $6M | Germany | Microsoft | Microsoft Azure Managed Lustre | Cloud Storage | 2023 | n/a |
In 2023, Meteomatics implemented Microsoft Azure Managed Lustre as its Cloud Storage platform to host high-performance numerical weather prediction and simulation workloads in Switzerland. Microsoft Azure Managed Lustre was configured to provide the parallel file system performance and low-latency I/O necessary for ensemble forecasting and large-scale simulation runs.
The implementation centered on provisioning large, POSIX-compliant parallel file systems with explicit configuration for scratch and persistent storage tiers and parallel I/O across compute nodes. Configuration supported checkpointing and high IOPS access patterns commonly required by numerical weather prediction and simulation workloads.
Deployment was integrated with Azure CycleCloud for cluster orchestration and lifecycle management, and tiering to Azure Blob Storage was used for longer term archival and capacity management consistent with Microsoft product guidance. Operational coverage included Meteomatics forecasting and product delivery workflows in Switzerland, aligning compute orchestration with storage tiering to streamline model execution pipelines.
Governance emphasized storage lifecycle policies, data retention for model checkpoints, and runbook-driven operational procedures coordinated between data engineering and forecasting teams. The environment reduced time-to-completion for forecast models and enabled faster delivery of products to customers, reflecting the intended performance and operational benefits described in the implementation notes.
|
 |
Petronas | Oil, Gas and Chemicals | 52157 | $78.9B | Malaysia | Microsoft | Microsoft Azure Managed Lustre | Cloud Storage | 2023 | n/a |
In 2023, Petronas implemented Microsoft Azure Managed Lustre as Cloud Storage to support high performance computing and AI workloads for upstream energy use cases in Malaysia. The deployment focused on enabling HPC scale storage for seismic processing and data intensive analytics used by upstream geoscience and data science teams.
Microsoft Azure Managed Lustre was configured as an HPC file system to deliver high storage bandwidth and parallel POSIX compliant file access, with configuration aligned to throughput sensitive workloads such as seismic imaging and AI model training. The implementation used Microsoft Azure Managed Lustre as the primary high performance storage tier alongside long term object retention, and the configuration emphasized bandwidth optimization and IO parallelism for compute bound workflows.
Integrations included coupling the Microsoft Azure Managed Lustre tier with Azure Blob Storage for lifecycle management and archive of processed datasets, and the service was provisioned within Microsoft Azure infrastructure serving Petronas operations in Malaysia. Governance was structured to coordinate central cloud platform teams and upstream analytics groups on access controls, data lifecycle policies, and workload scheduling. The implementation delivered higher storage bandwidth and improved processing performance, and it accelerated data intensive analytics and seismic workflows for upstream business functions.
|
 |
|
Automotive | 2547 | $2.0B | Sweden | Microsoft | Microsoft Azure Managed Lustre | Cloud Storage | 2024 | n/a |
|
Showing 1 to 4 of 4 entries
Buyer Intent: Companies Evaluating Microsoft Azure Managed Lustre
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Microsoft Azure Managed Lustre. Gain ongoing access to real-time prospects and uncover hidden opportunities.
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||
FAQ - APPS RUN THE WORLD Microsoft Azure Managed Lustre Coverage
Microsoft Azure Managed Lustre is a Cloud Storage solution from Microsoft.
Companies worldwide use Microsoft Azure Managed Lustre, from small firms to large enterprises across 21+ industries.
Organizations such as Petronas, Polestar, Duke Clinical Research Institute and Meteomatics are recorded users of
Microsoft Azure Managed Lustre for Cloud Storage.
Companies using Microsoft Azure Managed Lustre are most concentrated in Oil, Gas and Chemicals, Automotive and Healthcare, with adoption spanning over 21 industries.
Companies using Microsoft Azure Managed Lustre are most concentrated in Malaysia, Sweden and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Microsoft Azure Managed Lustre across Americas, EMEA, and APAC.
Companies using Microsoft Azure Managed Lustre range from small businesses with 0-100 employees - 25%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 50%, and global enterprises with 10,000+ employees - 25%.
Customers of Microsoft Azure Managed Lustre include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Microsoft Azure Managed Lustre customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Cloud Storage.