Enterprise Solutions

Are your High Performance Compute (HPC) and AI environments struggling with file management?
HPE Data Management Framework 7 (DMF7) delivers centralized data management across HPC and AI storage systems and protects scalable, parallel file systems like Lustre and Spectrum Scale. Namespace reflection is used to create an independent snapshot of file system state, allowing you to recover file systems in a known good state. This system maintains file versions, allowing users to recover files from previous successful job runs.

HPE DMF7 automates data movement between tiers in a storage hierarchy, e.g. between flash and disk. Administrators and users can also use HPE DMF7 to move files between file systems, e.g. when files must be moved from storage that is being retired. HPE DMF7 improves utilization of expensive, high performance storage by automatically moving files to lower cost storage tiers, creating a virtual storage space that appears to scale beyond the physical capacity.

Is your storage slowing down your HPC compute cluster?

The Cray ClusterStor E1000 Storage System is purpose-engineered to meet the demanding input/output requirements of supercomputers and HPC clusters in a very efficient way. The E1000 parallel storage solution typically achieves the given HPC storage performance requirements, significantly reducing the number of storage drives. That means HPC users with a fixed budget for the HPC system can spend more of their budget on CPU/GPU compute nodes, accelerating time-to-insight. The E1000 Storage System embeds the open-source parallel file system Lustre to deliver this efficient performance. Hewlett Packard Enterprise provides enterprise-grade customer support in-house for Lustre that scales out (nearly) linearly, without software licensing for the file storage systems per terabyte capacity or per storage drive. This allows customers to reap the benefits of the open-source movement while getting enterprise-grade support.

Are your deployments of distributed AI and analytics applications complex and time-consuming?

Does it take weeks or even months for large-scale enterprise implementation on infrastructure that you aren’t certain has the capabilities to support your objectives? Deploying HPE Apollo Systems for BlueData EPIC Software, based on the HPE Elastic Platform for Analytics (EPA) architecture, provides an efficient, flexible and cost effective solution addressing the evolving requirements of these workloads. This cloud-ready infrastructure can be seamlessly extended in a contiguous hybrid cloud with Amazon Web Services, Google Cloud Platform, and Microsoft Azure. The logical and physical separation of compute and storage enables you to increase efficiency and flexibility. HPE Apollo Systems for BlueData Software helps eliminate the need for a dedicated DevOps team by provisioning and configuring components, facilitating cloud deployments, and jump-starting your AI and analytics initiatives..

HPE Nimble Storage dHCI radically simplifies infrastructure for every application by reimagining HCI without limitations. Built for business-critical apps and mixed workloads, HPE Nimble Storage dHCI enables IT agility while ensuring apps are always-on and always-fast. VM-centric and AI-driven operations make it effortless, while 99.9999%² guaranteed data availability and consistent sub-millisecond latency mean it's ideal for the most demanding apps and workloads. It lowers costs with flexible, independent scaling of compute and storage and industry-leading data efficiency. Finally, HPE Nimble Storage dHCI maximizes agility by unlocking the cloud experience across hybrid cloud. We call it HCI 2.0 as it’s HCI without limitations.

New workplace realities are challenging legacy assumptions about where, when, and how work gets done. Location and access-device flexibility are more important than ever, while the ability to deliver productivity and security are no less essential. The public cloud is one option but not when data sovereignty, privacy, performance, or security considerations require apps and data to remain on premises

When conducting business away from the office, workers may be using any type of tablet, smartphone, or PC trusted or not—as is typical in today’s bring-your-own-device, work-from-home environment. With virtual desktop infrastructure,you have no need to store confidential company data on a personal device that could easily be lost, stolen, or tampered with. HPE GreenLake for virtual desktop infrastructure offers inherently secure on-premises VDI, tailored to users’ needs that let you avoid high up-front costs, speed time to value, and scale seamlessly to align resources with demand

As data growth accelerates and data copy sprawl increases, the challenges of backing up and protecting that data also grow, especially with complex hybrid cloud environments and an evolving threat and compliance landscape. You can protect your business's essential data and unlock its value while keeping up-front capital costs in check with on-premises data protection through HPE StoreOnce with cloud services delivered by HPE GreenLake. Your business gains reliable, cost-efficient automated backup, recovery, and data retention without the risks of overprovisioning, and as it's a pay-per-use deployment, your cost closely tracks your actual usage. Plus, you can recover value from your existing storage infrastructure, regardless of the original vendor, with the help of HPE Financial Services. And with modular pre-configured options, HPE can deliver your solution to your on-premises or co-located data center in as few as 14 days

Organizations in every industry are looking to leverage AI and ML to harness the power of their data and deliver business innovation through data science. But even when they achieve some measure of success with machine learning pilot programs, many organizations face challenges when they seek to scale these programs to production: security concerns, legacy hardware, siloed data and workflows, inefficient processes, and daunting costs.

To deliver the value of ML and data science to your enterprise, the HPE GreenLake platform delivers an enterprise-grade ML cloud service that enables developers and data scientists to rapidly build, train, and deploy ML models—from pilot to production, at any scale. This solution comprises an optimized hardware stack and is powered by HPE Ezmeral ML Ops. It provides data scientists with self-service access to a sandbox environment for prototyping and testing, to eliminate IT provisioning delays, ensure repeatability, and accelerate time-to-value.

To help you mine continuous streams of value locked in your data, HPE GreenLake delivers a trusted, enterprise-grade AI/ML and analytics cloud-like experience so you can accelerate your data modernization initiatives, from edge to cloud. With a cloud-native architecture, support for open source data science tools, and AI accelerators and frameworks, it provides choice and an elastic, unified analytics platform for data and applications on-premises, at the edge, and in public clouds. The consistent experience helps data, IT teams, developers, and analysts simplify the complexities of machine learning lifecycles and data management at scale, leading to better, faster decisions no matter where your data resides.

Data, the critical store of business value, is growing exponentially. To effectively exploit data while protecting against data loss and ransomware threats, organizations must modernize data protection from edge to cloud — simplifying operations, aligning infrastructure to actual use, and shifting from insurance to insight.

Secure your backup data and harness its true value with the HPE GreenLake platform. This service is designed to meet every data protection SLA without up-front capital expense or overprovisioning risk. On-demand, cloud-native backup and recovery services deliver agility while preconfigured, on-premises solutions extend your options. It's all delivered with the agility of elastic scale and a pay-per-use structure that links business value to use. Get cloud protection instantly and deploy your on-premises data protection solution in a matter of days.

The HPE Ezmeral Unified Analytics solution modernizes legacy data and applications to optimize data-intensive workloads from edge to cloud to deliver the scale and elasticity required for advanced analytics.