Enterprise Solutions

The promise of AI is often blocked by complexity and risk. HPE Private Cloud AI is the strategic answer—a complete AI factory designed to remove the technical risks and performance bottlenecks of traditional solutions. This means you can achieve faster time to value and a predictable ROI.
Co-engineered with NVIDIA®, our solution provides the foundation for confident AI innovation:
• Cost predictability: Our on-premises model removes operational bottlenecks, giving you the financial clarity you need to move beyond pilots.
• Streamlined innovation: Pre-validated tools and notebooks standardize workflows and model development, all while providing consistent governance and zero-touch security from day one.
• Future-proof scalability: Seamlessly expand your AI infrastructure across diverse compute and GPU architectures, so you can innovate with confidence and adapt to the AI technologies of the future.

Need a dense, secure, and flexible platform for performance-heavy apps with easy management?

HPE SimpliVity 325 offers HCI with 4th & 5th Gen AMD EPYC™ on a single-CPU, all-flash 1U platform—ideal for remote or space-constrained sites. It scales in 1U increments and delivers full HPE SimpliVity software: guaranteed data efficiency, built-in protection, VM-centric management.

HPE SimpliVity supports HPE Morpheus Software – VM essentials along with Broadcom VMware®, offering flexible hypervisor choices to meet diverse business needs.

Built on the industry’s most secure server portfolio, the HPE ProLiant Compute DL325 Gen12 with AMD EPYC™ deliver advanced security and performance.

Is complexity in your data center slowing you down?

HPE SimpliVity 380 delivers the agility and economics of the cloud with the control of on-premises IT, now with an option to integrate with HPE Private Cloud PC3000. Built on the trusted HPE ProLiant DL380 platform, this compact 2U hyperconverged solution combines compute, storage, and networking in a single, scalable building block—dramatically simplifying IT.

Optimized for efficiency and resilience, HPE SimpliVity delivers enterprise-grade management, operational efficiency, protection, and performance for virtualized workloads while reducing infrastructure cost and complexity.

HPE SimpliVity 380 now supports HPE Morpheus Software – VM essentials along with Broadcom VMware®, offering flexible hypervisor choices to meet diverse business needs.

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.

HPE CloudOps Software suite brings together three powerful HPE software tools for a comprehensive cloud operating model within a single software suite – from planning and provisioning, to observability and optimization, to the protection of critical workloads – across ​any runtime, ​any workload, ​anywhere.

The suite offers a comprehensive solution including HPE Morpheus Enterprise Software, HPE OpsRamp Software, and HPE Zerto Software solutions – to help you simplify operations, increase agility, and ensure every workload is optimized, secure, and under control. Automate service delivery, observe every workload in real time, and protect data and services with built-in resilience across any cloud, infrastructure, or application environment.

Designed to orchestrate, observe, and protect workloads throughout their lifecycle, this suite provides real-time visibility, policy-driven automation, full-stack observability, and built-in resilience.

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.

The HPE Edge Center is a complete self-contained, single cabinet modular, and software-defined data center, which enables any IT environment at the edge. It protects compute, network and storage infrastructure while providing industry first edge management control system which enables edge management automation. The HPE Edge Center provides flexibility to deploy computing fast and efficiently, where and when you need it. The perfect solution for Industrial IoT as well as other enterprise edge or AI workloads.

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.

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.