Enterprise Solutions

HPE Private Cloud AI is the first co-developed, turnkey solution to come from NVIDIA® AI Computing by HPE—a new joint initiative to help enterprises unlock their AI ambitions. NVIDIA AI Computing by HPE brings together people, technology, and economics to accelerate AI deployments, protect against risks, and optimize AI costs long term. The solution is tailored to AI models and designed to scale easily with the growth and utilization of AI use cases. With this proven foundation, HPE Private Cloud AI accelerates data scientist productivity and helps overcome common challenges in operationalizing AI by delivering a flexible, pretested, AI-optimized private cloud. HPE Private Cloud AI provides a self-service cloud experience enabled by the HPE GreenLake cloud. Start small as a single AI pilot and evolve quickly for multiple use cases or higher throughput in one solution. Plus, you can deploy either on-prem, colocation, or in the cloud while maintaining control over financial risks.

Is your IT operations team overloaded with too many alerts and too many tools?

Is the performance of your applications suffering because you're unable to quickly resolve infrastructure incidents?

HPE OpsRamp Software, is a SaaS-based ITOM solution that delivers total visibility across on-premises, cloud, and cloud-native environments, centralizes infrastructure monitoring and management of business-critical services, and improves operations through automation and integration with your existing ITOM and ITSM toolsets. HPE OpsRamp helps modern IT operations teams align with the business for delivering innovation, respond faster, and automate procedures to help reduce operating costs and keep your applications performing to expectation. By improving operational efficiencies and governance, your team will be more productive in supporting more strategic business objectives. Centralize your IT operations with HPE OpsRamp today.

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.

Is the task of implementing SAP HANA for your company very challenging? The HPE Integrity MC990 X TDI for SAP HANA Scale-up Configurations solve your dilemma. These SAP configurations provide a certified, integrated, pre-configured system that fits smoothly, efficiently into your existing infrastructure of storage and networking. All of the HPE MC990 X TDI for SAP HANA Scale-up Configurations have been tested and are certified. When you select your configuration, you have confidence that it is efficient and effective and meets the SAP HANA performance indicators (KPIs). As your use of your data grows, the HPE MC990 X TDI for SAP HANA Scale-up Configurations are ready to accommodate your increased workloads smoothly, so that you have no concerns about future growth.

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.

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.

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 you looking to move HPE Network Functions Virtualization (NFV) solutions into your production networks? Most Communication Service Provider (CSPs) are seeking technology that is easily operationalized, highly available and accommodates lifecycle management. HPE Network Functions Virtualization (NFV) Validated Configurations (VCs) provide CSPs with a verified, pre-integrated NFV platform backed with end-to-end solution support. The NFV VCs are co-designed with customers including their choice of 3rd party hardware and software components – leveraging HPE’s extensive knowledge of NFV best practices. The NFV VCs provide flexibility, accelerated deployment, reduced risk, faster time to value, and finally NFV solution aware support with a single point of contact. It suits CSPs who have made specific choices in software, server, or networking technologies or vendors, but still want to make NFV deployment fast and risk-free.