List of Amazon FSx for Lustre Customers
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Since 2010, our global team of researchers has been studying Amazon FSx for 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 Amazon FSx for 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 Amazon FSx for Lustre for Cloud Storage include: Adobe, a United States based Professional Services organisation with 31360 employees and revenues of $23.77 billion, Rivian, a United States based Manufacturing organisation with 16790 employees and revenues of $4.43 billion, Paige, a United States based Life Sciences organisation with 500 employees and revenues of $125.0 million, Lg Ai Research, a South Korea based Professional Services organisation with 120 employees and revenues of $23.0 million and many others.
Contact us if you need a completed and verified list of companies using Amazon FSx for 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 Amazon FSx for 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!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Adobe | Professional Services | 31360 | $23.8B | United States | Amazon Web Services (AWS) | Amazon FSx for Lustre | Cloud Storage | 2024 | n/a |
In 2024, Adobe implemented Amazon FSx for Lustre to accelerate training of its Firefly generative AI models and to ensure high GPU utilization. Adobe built the storage tier as part of an AWS AI training platform that included Amazon EC2 P5 and P4d GPU instances, Amazon EKS for orchestration, Amazon EBS for block volumes, Amazon Elastic Fabric Adapter for low latency networking, and Amazon S3 as the central data lake, with Amazon FSx for Lustre providing the high-performance shared file system required for fast access to training datasets, the Apps Category .
Amazon FSx for Lustre was configured as a mounted high-throughput file system for both EC2 GPU clusters and EKS-managed training jobs, with tight integration to Amazon S3 for data ingest and continuous synchronization of datasets. Storage configuration emphasized low-latency I O and parallel access patterns to support distributed training techniques such as pipeline parallelism and tensor core utilization, while Amazon EBS provided instance-level persistence for ephemeral workloads.
The implementation interoperated with AWS compute and networking services, feeding synchronized data from Amazon S3 through Amazon FSx for Lustre into distributed training on EC2 Reserved Instances, enabling a 20x scale up in model training over six months. Adobe also deployed stateless inference systems across regions for Firefly model serving and explored hardware options to optimize inference cost and performance, while keeping dataset lineage centralized in S3 and FSx storage for reproducibility.
Governance combined continuous testing for harmful bias, Reinforcement Learning with Human Feedback to incorporate user interactions, and automated Content Credentials for provenance and traceability of generated assets. In 2024, Adobe launched the Firefly family in nine months, leveraging Amazon FSx for Lustre as a core component to maintain GPU efficiency and fast data throughput during training and iteration.
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Lg Ai Research | Professional Services | 120 | $23M | South Korea | Amazon Web Services (AWS) | Amazon FSx for Lustre | Cloud Storage | 2022 | n/a |
In 2022, LG AI Research deployed Amazon FSx for Lustre as Cloud Storage to support large scale foundation model training and research. The deployment paired Amazon FSx for Lustre with Amazon SageMaker to train the EXAONE multimodal foundation model, a 300 billion parameter model, as part of LG AI Research efforts in South Korea.
Amazon FSx for Lustre was provisioned as a high performance parallel file system, configured to serve training data and data preparation workflows for distributed SageMaker training instances. The implementation emphasized parallel I O throughput and shared storage semantics typical of Cloud Storage for machine learning, enabling faster data staging and checkpointing across GPU clusters.
Integration was explicitly implemented with Amazon SageMaker, where training jobs consumed data directly from Amazon FSx for Lustre mounts, and data engineering teams in LG AI Research operated the pipelines. The operational scope covered research and engineering functions focused on large scale AI model training, with infrastructure hosted on AWS in the South Korea region.
Governance and rollout followed a research to production path, with EXAONE developed and deployed to production within one year. The case study reports a reduction in model development costs of about 35 percent and an increase in data preparation speed of about 60 percent, outcomes attributed to the Amazon FSx for Lustre Cloud Storage deployment integrated with SageMaker.
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Paige | Life Sciences | 500 | $125M | United States | Amazon Web Services (AWS) | Amazon FSx for Lustre | Cloud Storage | 2022 | n/a |
In 2022, Paige implemented Amazon FSx for Lustre as Cloud Storage linked to Amazon S3 to scale machine learning training for digital pathology workloads. The deployment paired Amazon FSx for Lustre with Amazon EC2 P4d instances to provide GPU accelerated compute adjacent to a high performance file system, and the architecture was designed to support petabyte scale datasets used in model development.
Configuration emphasized eliminating manual prestaging of large datasets by using Lustre file system mounts backed by Amazon S3, enabling on demand data access for training pipelines. Functional capabilities implemented included high throughput I/O for large training datasets, automated data staging workflows, and orchestration of distributed training across EC2 P4d nodes.
Operational scope centered on data science and machine learning teams supporting digital pathology, with the Cloud Storage deployment integrated into the model training layer and storage tier. The solution enabled training on roughly 10× more data than their on premises environment and accelerated internal workflows by about 72%.
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Manufacturing | 16790 | $4.4B | United States | Amazon Web Services (AWS) | Amazon FSx for Lustre | Cloud Storage | 2020 | X-ISS |
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