Enterprise Solutions

HPE Solutions with Cohesity combines optimized HPE ProLiant or HPE Apollo servers with Cohesity software to deliver a multi-cloud data platform that provides a comprehensive range of data management services, available on-premises or from the cloud. Although most organizations begin their journeys to overcoming mass data fragmentation by simplifying data protection, the HPE and Cohesity solution's flexible architecture allows easy expansion to additional use cases, further increasing operational simplicity and improved TCO.

HPE Solutions with Cohesity are built on the HPE ProLiant DL360 Gen10 Servers, HPE ProLiant DL380 Gen10 Servers, HPE Apollo 4200 Gen10 Systems.

HPE Alletra dHCI radically simplifies infrastructure for every application by reimagining HCI without limitations. Built for business-critical apps and mixed workloads, HPE Alletra  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 Alletra dHCI maximizes agility by unlocking the cloud experience across hybrid cloud. We call it HCI 2.0 as it’s HCI without limitations.

Much like pre-DevOps software development, data science organizations still spend a significant amount of time and effort when moving projects from development to production. Model version control and code sharing is manual, and there is a lack of standardization on tools and frameworks, making it tedious and time-consuming to productize machine learning models.

HPE Ezmeral Machine Learning Ops (HPE Ezmeral ML Ops) extends the capabilities of the HPE Ezmeral Runtime Enterprise and brings DevOps-like agility to enterprise machine learning. With the HPE Ezmeral ML Ops, enterprises can implement DevOps processes to standardize their ML workflows.

HPE Ezmeral ML Ops provides data science teams with a platform for their end-to-end data science needs with the flexibility to run their machine learning or deep learning (DL) workloads on-premises, in multiple public clouds, or a hybrid model and respond to dynamic business requirements in a variety of use cases.

Do you need a dense platform with built-in security and flexibility that addresses key applications which need performance, availability along with ease of management?

HPE SimpliVity 325 provides HCI choice with our 3rd Generation  AMD EPYC™ single CPU processor platform including all-flash storage. Highly dense, the solution is a 1U enclosure that scales in 1U increments and is ideal for remote office or space-constrained locations. Each appliance has one node per 1U chassis and provides customers with the full software capabilities of HPE SimpliVity - guaranteed data efficiency, built-in data protection, and global virtual machine (VM)-centric management and mobility.

Part of the world’s most secure industry-standard server portfolio, the HPE ProLiant DL325 Gen10 and Gen10 Plus v2 servers¹ along with the latest AMD EPYC processors, bring together the latest innovations in security and performance.

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.

HPE Cloud Volumes will get you there faster.

HPE Cloud Volumes Block provides an enterprise-grade multicloud storage service for running your applications in Amazon Web Services™, Google Cloud Platform and Microsoft® Azure™.

Cloud storage that's easy to use with the enterprise-grade reliability and features your applications need. Designed for easy data mobility so you have the freedom to move data between public clouds and your data center without being locked in.

With HPE InfoSight you gain global visibility and insights across the stack no matter where your data lives; Move volumes from HPE Nimble Storage on-prem arrays to HPE Cloud Volumes natively.

Replicate for migrating data to the cloud and disaster recovery. Connect your volumes with VMs running in AWS, GCP or Azure without having to move your data between clouds.

HPE Cloud Volumes Backup delivers a simple, efficient, and flexible way to store your backup securely data in the cloud. It’s a completely cloud-native backup storage target that enables you to back up seamlessly to the cloud—directly from any storage array or backup ISV—without changing your existing data protection workflows. Backups can be restored on-premises or in the cloud, leveraging Cloud Volumes Block.

HPE Cloud Volumes Backup helps eliminate complexity by freeing you from the day-to-day hassles and costs of backup infrastructure management. You know that your data is rapidly recoverable and safe.

HPE Cloud Volumes Backup helps optimize your costs with consumption-based pricing and ultra-efficient data mobility across any hybrid cloud. And it empowers you to get more out of your backup data, enabling you to transform backup data into a business asset that accelerates development and reveals new business insights.

This is the power of cloud backup done right.

Are business insights and innovation slowed by restricted access to data? HPE Ezmeral Data Fabric securely works around data silos to aggregate different data types and formats into a single data backbone that accelerates analytics and AI without complex ETL processes or copying of data. Customers report faster data management, building of models 75% faster¹ and the ability to handle more types of data and modeling algorithms than ever before.  

Layer on open source tools and frameworks from the certified ecosystem to process data at its point of creation across hybrid, edge, and multicloud environments. 

Empower data teams to search and pinpoint the exact data with metadata and data intelligence from BigID. Truncate data discovery from days/weeks to minutes, identify unprotected sites, then apply remediation policies, encrypt or move data. Ensure that data is being accessed and used to organizational policies.

HPE Ezmeral Runtime Enterprise is an enterprise-grade container orchestration platform that is designed for the containerization of both cloud-native and non-cloud-native monolithic applications with persistent data. It deploys 100% open-source Kubernetes for orchestration, provides a state-of-the-art file system and data fabric for persistent container storage, and provides enterprises with the ability to deploy AI and Analytics workloads in containers. Enterprises can now easily extend the agility and efficiency benefits of containers to more of their enterprise applications—running on either bare-metal or virtualized infrastructure, on-premises, in multiple clouds, or at the edge.

HPE GreenLake for Compute Ops Management is a secure, software-defined compute management platform to intelligently modernize the compute lifecycle management experience, no matter where compute resides. From secure onboarding to simplifying updates and compliance, to unifying monitoring and management. Put HPE GreenLake for Compute Ops Management to work for you!

Onboard devices: Simplify deploying new server hardware from bare metal to configuration. Set BIOS, update drivers and firmware. Label and Group devices for intuitive inventory management and monitoring. Firmware management and compliance: Quickly set firmware baselines across devices and track compliance. Instantly identify which devices need an update and download only the deltas. Use policies to stage and schedule updates either in a governed or automated manner. Monitor and manage: Instant at-a-glance views of group and device health and status.
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