List of Amazon Elastic Block Store (EBS) Customers
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Since 2010, our global team of researchers has been studying Amazon Elastic Block Store (EBS) 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 Elastic Block Store (EBS) 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 Elastic Block Store (EBS) for Cloud Storage include: Ayala Corporation, a Philippines based Banking and Financial Services organisation with 60150 employees and revenues of $232.46 billion, General Motors, a United States based Automotive organisation with 162000 employees and revenues of $187.44 billion, Eli Lilly, a United States based Life Sciences organisation with 50605 employees and revenues of $65.18 billion, NedBank, a South Africa based Banking and Financial Services organisation with 25954 employees and revenues of $63.59 billion, USAA, a United States based Insurance organisation with 37000 employees and revenues of $32.23 billion and many others.
Contact us if you need a completed and verified list of companies using Amazon Elastic Block Store (EBS), 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 Elastic Block Store (EBS) 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 | Insight Source |
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Adobe | Professional Services | 31360 | $23.8B | United States | Amazon Web Services (AWS) | Amazon Elastic Block Store (EBS) | Cloud Storage | 2024 | n/a | In 2024, Adobe deployed Amazon Elastic Block Store (EBS) in Storage as a core component of its AWS based generative AI training and inference platform. Amazon Elastic Block Store (Amazon EBS) was provisioned alongside Amazon EC2 P5 and P4d GPU instances, Amazon EKS, Amazon FSx for Lustre, Amazon S3, and Amazon Elastic Fabric Adapter to support high throughput, low latency storage needs for model training and checkpointing. Adobe configured EBS volumes to provide persistent block storage for distributed training workloads, model checkpoints, and ephemeral training scratch space, with orchestration handled through Amazon EKS and EC2 GPU instance attachment patterns. The implementation emphasized fast I O for tensor core utilization and pipeline parallelism for distributed training, with EBS serving as the block layer that integrates with FSx for Lustre for high performance file access and S3 as the central data lake. Integrations included tight coupling of Amazon Elastic Block Store with EC2 GPU fleets, EKS job scheduling, and continuous data synchronization pipelines feeding the Firefly family of generative AI models. The platform supported both training and regional stateless inference deployments, while Adobe evaluated alternative inference hardware such as AWS Inferentia2 to optimize cost and performance trade offs. Governance and operational processes were extended to include continuous testing for harmful bias, Reinforcement Learning with Human Feedback feedback loops from Photoshop and other Creative Cloud applications, and automatic attachment of Content Credentials compliant with the C2PA standard through the Adobe led Content Authenticity Initiative. Operational controls emphasized data lineage, traceability of training assets, and monitoring to keep GPU resources utilized effectively during peak scaling events. Outcomes stated by Adobe included launching the Firefly family of generative AI models in nine months and achieving a 20x scale up in model training capacity within six months by leveraging EC2 Reserved Instances and distributed training techniques. Amazon Elastic Block Store played a foundational Storage role in supporting rapid iteration, reliable checkpointing, and sustained GPU utilization across Adobe’s generative AI program. | |
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AGL Energy, Ltd. | Utilities | 3894 | $856M | Australia | Amazon Web Services (AWS) | Amazon Elastic Block Store (EBS) | Cloud Storage | 2016 | n/a | In 2016 AGL Energy implemented Amazon Elastic Block Store (EBS) on AWS as part of its infrastructure to support content management workloads. Apps Category The implementation provisioned Amazon Elastic Block Store (EBS) volumes to provide persistent block storage for AEM author and publish nodes, and to persist digital assets used by AGLs AEM content fragment models, experience fragments and DAM. Configuration focused on separate volume profiles for performance and durability across production and non production environments, and EBS snapshots were used to enable recoverability and to support deployment rollback patterns. EBS volumes were deployed alongside AEM infrastructure that included CI CD pipelines in Azure DevOps for AEM and Dispatcher deployments, and storage access was aligned with application level user management to segregate asset access for different business units. Operational coverage spanned platform engineering, content and UX teams, business analysts and product owners, with the storage layer supporting reusable component libraries and SPA integrations consumed by multiple AGL departments. Governance included snapshot and rollback procedures to support blue/green deployment workflows and run mode specific configuration for the AEM stack. Documentation of storage configuration and deployment runbooks was recorded for platform managers and on call operations, aligning storage provisioning and lifecycle procedures with the AEM operational playbook. | |
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Ayala Corporation | Banking and Financial Services | 60150 | $232.5B | Philippines | Amazon Web Services (AWS) | Amazon Elastic Block Store (EBS) | Cloud Storage | 2014 | n/a | In 2014, Ayala Corporation implemented Amazon Elastic Block Store to provide persistent block-storage volumes for Amazon EC2 instances that host SAP workloads across its Ayala Land operations. Apps Category . The deployment used Amazon Elastic Block Store, with SAP HANA databases running on Amazon EC2 memory-optimized R4 instances, positioning Amazon Elastic Block Store (Amazon EBS) as the primary persistent block storage tier for SAP and other line-of-business applications. Configuration centered on persistent EBS volumes attached to EC2 R4 instances, with operational practices for automated monitoring and scripted automation to manage snapshots and storage lifecycle. Integrations were explicitly built around AWS native services, using AWS Direct Connect for low-latency connectivity between the Philippines and AWS Singapore, Amazon CloudWatch for instance and metric monitoring, AWS Lambda for automated invocation of administrative scripts, and AWS Identity and Access Management for access controls. The environment replaced on-premises block storage arrays, allowing the team to retire an EMC VNX system and to decommission approximately 90 TB of on-premises storage during the rollout. Governance and operational changes included streamlined provisioning workflows and use of AWS Support under the Business Support Plan to accelerate incident response. Reported outcomes documented by the team included faster provisioning, the ability to add resources in 24 hours or to provision simple instances in about 4 hours, an observed average latency of 30 to 40 milliseconds over Direct Connect, elimination of manual daily database replication through automation, and a total cost of ownership analysis showing 24 percent lower cost on AWS compared with on-premises HANA-compliant hardware. | |
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Healthcare | 2000 | $300M | India | Amazon Web Services (AWS) | Amazon Elastic Block Store (EBS) | Cloud Storage | 2022 | n/a |
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Banking and Financial Services | 700 | $180M | United States | Amazon Web Services (AWS) | Amazon Elastic Block Store (EBS) | Cloud Storage | 2021 | n/a |
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Banking and Financial Services | 350 | $100M | United States | Amazon Web Services (AWS) | Amazon Elastic Block Store (EBS) | Cloud Storage | 2020 | n/a |
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Life Sciences | 50605 | $65.2B | United States | Amazon Web Services (AWS) | Amazon Elastic Block Store (EBS) | Cloud Storage | 2019 | n/a |
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Banking and Financial Services | 1421 | $104M | United States | Amazon Web Services (AWS) | Amazon Elastic Block Store (EBS) | Cloud Storage | 2022 | n/a |
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Professional Services | 950 | $215M | United States | Amazon Web Services (AWS) | Amazon Elastic Block Store (EBS) | Cloud Storage | 2018 | n/a |
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Automotive | 162000 | $187.4B | United States | Amazon Web Services (AWS) | Amazon Elastic Block Store (EBS) | Cloud Storage | 2022 | n/a |
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Buyer Intent: Companies Evaluating Amazon Elastic Block Store (EBS)
- University of Wales Trinity Saint David, a United Kingdom based Education organization with 1658 Employees
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