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.

HPE Synergy architecture delivered via Composable Compute as an HPE GreenLake Flex Solution, delivers the ability to compose workloads at cloud-like speed, in a pay-per-use model. One Infrastructure to run any workload.

HPE Synergy infrastructure makes it easy to assemble and scale combined IT resources of compute, network fabric and storage, on demand, to deliver workloads. HPE Synergy enables you to allocate, provision, and reconfigure compute, storage, and network physical and virtual resources using a single software-based interface.

This intelligent approach drives innovation and value creation for powering the new breed of cloud-based applications, while more efficiently running traditional workloads across your hybrid cloud 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.

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 to accelerate database performance on your Hewlett Packard Enterprise servers running Linux? The HPE Application Tuner Express optimizes Linux® application performance by loading data into memory close to the processor executing the computing instruction on multi-processor x86 based systems. The optimization reduces delays introduced when data gets stored in remote memory on other processors in the system. This software accelerator delivers Non-Uniform Memory Access (NUMA) awareness to applications without having to change the application code at all. There is more performance benefit realized on larger socket count servers.

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 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.

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.

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.

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