Enterprise Solutions

HPE ConvergedSystem 750 is the next evolution of converged infrastructure bringing composability, intelligence and simplified IT operations together to reduce overprovisioning while providing easy scalability with predictive all-flash storage. Improve security and downtime reducing disruptive software and hardware management while relying on a trusted single support contact for the entire solution.

Is SAP® the heart of your organization? Does the sprawl and complexity make it difficult to share, manage, and protect data? To compete, you need to shift your focus from maintaining infrastructure to increasing the business value of information. The HPE ConvergedSystem 900 for SAP HANA Scale-up Configurations are tightly integrated and pre-configured solutions that are easily installed with just a few clicks and in minutes.

Today, SAP customers are looking to SAP HANA® to enable real-time data access for the insight needed to respond quickly to business needs and market trends with reduced administration. HPE ConvergedSystem 900 for SAP HANA Scale-up Configurations of up to 16 TB memory are easy-to-order, easy-to-deploy, workload-optimized systems that are simple to manage and support.

They are pre-built, factory-integrated systems that are designed for high performance, built-in high availability, and unmatched scalability in a single in-memory pool.

Does your sprawling data warehousing landscape make it difficult for you to get a real-time, 360 degree view of your business?

Consolidate your warehousing landscapes, and tame your data with HPE ConvergedSystem 900 for SAP HANA Scale-out Configurations that are purpose built and performance optimized for the most demanding SAP HANA Business Warehousing or B/4HANA use cases. Optimized for speed, simplicity and efficiency, and backed by a full complement of services to get you running quickly, HPE ConvergedSystem 900 Scale-out Configurations offer massive scalability up to 192 TB of memory for large Business Warehousing on SAP HANA or B/4HANA use cases. Shape business strategies, and enable real-time business insight to stay ahead of the competition, and respond to market trends by focusing on the business outcomes, and not on managing your IT infrastructure.

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.

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 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.

Are your on-premises deployments of distributed AI and Analytics applications complex and time-consuming?

Does it take weeks or even months for large-scale enterprise implementation with bare-metal infrastructure? BlueData EPIC (Elastic Private Instant Clusters) software platform gives you the ability to quickly, easily, and cost-effectively deploy applications, regardless of the infrastructure, in self-service, elastic, automated, and secure environments. This software can create distributed AI, Machine Learning (ML), and Big Data Analytics environments in minutes rather than months, whether on-premises, in multiple public clouds, or in a hybrid model, allowing you to quickly respond to dynamic business requirements in a variety of use cases. BlueData EPIC software offers flexibility and agility within a seamless infrastructure that is invisible to your end user community of data scientists, analysts, and developers.

Are your deployments of distributed AI and analytics applications complex and time-consuming?

Does it take weeks or even months for large-scale enterprise implementation on infrastructure that you aren’t certain has the capabilities to support your objectives? Deploying HPE Apollo Systems for BlueData EPIC Software, based on the HPE Elastic Platform for Analytics (EPA) architecture, provides an efficient, flexible and cost effective solution addressing the evolving requirements of these workloads. This cloud-ready infrastructure can be seamlessly extended in a contiguous hybrid cloud with Amazon Web Services, Google Cloud Platform, and Microsoft Azure. The logical and physical separation of compute and storage enables you to increase efficiency and flexibility. HPE Apollo Systems for BlueData Software helps eliminate the need for a dedicated DevOps team by provisioning and configuring components, facilitating cloud deployments, and jump-starting your AI and analytics initiatives..

HPE Nimble Storage dHCI radically simplifies infrastructure for every application by reimagining HCI without limitations. Built for business-critical apps and mixed workloads, HPE Nimble Storage 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 Nimble Storage 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.