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.

HPE Sustainability Insight Center provides energy and carbon emissions reporting through a unified console to empower customers to make impactful changes, lower costs and achieve their sustainable IT goals.

The HPE Sustainability Insight Center provides a current view of the total energy consumption for HPE Compute devices that are managed by HPE GreenLake for Compute Ops Management and HPE GreenLake for Compute Ops Management – OneView Edition, including information about greenhouse gas (GHG) emissions¹, and costs associated with your energy consumption.

Measures the carbon footprint of HPE IT assets based on actual energy usage. 

Analyzes telemetry aggregated across sites and provides cumulative totals and averages. 

Reports carbon footprint and energy costs across sites (per device and site location). 

Reports energy consumption data from devices.

HPE InfoSight for Servers combines the machine learning and predictive analytics of HPE InfoSight with the health and performance monitoring of Active Health System (AHS) and HPE Integrated Lights Out (iLO) to optimize performance and predict and prevent problems. HPE InfoSight for Servers nearly eliminates wasted time and headaches by transforming how infrastructure is managed and supported. AHS is like a “flight recorder” for your server that provides continuous, proactive health monitoring and recording thousands of system parameters and diagnostic telemetry data 24x7 on the server. HPE InfoSight for Servers analyzes the telemetry data from AHS to derive insights from the behaviors of the install base to provide recommendations to resolve problems and improve performance. iLO Amplifier Pack functions as an on-premise aggregator and transmitter for HPE InfoSight for servers.

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.

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.

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.

Are you looking to simplify the management of across core to edge to cloud? HPE Solutions with Cohesity address several key issues facing customer today including, data fragmentation, complex or siloed data protection and backup solutions, data governance and compliance requirements, data mobility and cloud integration all with a unified platform. The joint solution empowers your business to protect data and apps, detect cyberthreats, backup and manage data, and recover rapidly from ransomware. HPE Solutions with Cohesity combine optimized HPE ProLiant or HPE Alletra Storage servers with Cohesity software to deliver a multi-cloud, data platform. The solution includes a comprehensive range of data management services, available on-premises or from the cloud. HPE Solutions with Cohesity are designed with a flexible architecture, which allows easy expansion to additional use cases, further increasing operational simplicity and reducing TCO.