Enterprise Solutions

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.

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 & 4th Generation  AMD EPYC™ a 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, with HPE GreenLake for Private Cloud Business Edition integration.

Part of the world’s most secure industry-standard server portfolio, the HPE ProLiant DL325 Gen11 and Gen10 Plus v2 servers¹ along with the latest AMD EPYC processors, bring together the latest innovations in security and performance.

Are you looking for a one-stop solution for your Red Hat® environment?

These three technologies provide everything needed for hybrid cloud, enterprise container, and Kubernetes deployment.

Red Hat OpenShift® Container Platform provides you the flexibility to tailor products to your individual needs with the freedom of choosing from the HPE ProLiant, HPE Synergy and workload solutions portolio.

Red Hat Ansible Automation® helps operating automation across your organization run infrastructure code and automate provisioning tasks for cloud providers, storage solutions, and other infrastructure components. Meanwhile Red Hat OpenShift® Container Storage is persistent software-defined storage integrated optimized for Red Hat OpenShift® Container Platform.

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.

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.

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

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.

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.

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.

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.