Use Cases

Do you require higher performance for artificial intelligence (AI) training and inference, high-performance computing (HPC) or graphics? NVIDIA® Accelerators for HPE help solve the world’s most important scientific, industrial, and business challenges with AI and HPC. Visualize complex content to create cutting-edge products, tell immersive stories, and reimagine cities of the future. Extract new insights from massive datasets. Hewlett Packard Enterprise servers with NVIDIA accelerators are designed for the age of elastic computing, providing unmatched acceleration at every scale.

Are you looking for simple, reliable, and cost-efficient flash storage for your primary and secondary workloads? HPE Alletra 5000 is a cloud native data infrastructure platform adaptively designed for a mix of primary workloads and secondary backup and disaster recovery. Bring cloud operational experience to your on-premises storage with the HPE GreenLake Edge to Cloud Platform – simplifying storage management across the lifecycle, from deployment to provisioning to upgrades. Eliminate application disruptions and ensure fast, consistent performance with the insight and intelligence of HPE InfoSight, most advanced AI for infrastructure. Leverage an enterprise-grade platform with guaranteed 6x9s availability and extreme data integrity and resiliency. Increase storage efficiency and reduce costs with up to 5:1 data reduction. Consume as a service via HPE GreenLake – letting you shift from buying and maintaining data infrastructure to simply accessing and utilizing it.

Would accelerating your artificial intelligence (AI), machine learning (ML), and deep learning (DL) workloads improve your business outcome? Financial services, life sciences, manufacturing, and AI require a modern data architecture that eliminates performance barriers. HPE Solutions with WEKA pairs our industry-leading server technologies with WEKA® Data Platform to provide a scalable, flash-native, parallel file storage solution built for large-scale AI, with high throughput, IOPS, and low-latency needed for the most performance-intensive workloads.
With policy-based tiering, data can span between NVMe flash to S3 based object storage in a single namespace, providing cost-effective data management and performance at an exabyte scale. The advanced architecture streamlines data pipelines while delivering ease of use, simplified scaling, and seamless sharing of data from edge to cloud. It can dramatically speed up data-driven innovation for complex AI, ML, or DL data pipelines.

Do you need a fast disk-based backup and recovery solution that can be installed in a single server or branch office? The HPE RDX Removable Disk Backup System is a reliable disk-based backup and recovery solution with unmatched portability, fast recovery and easy integration into a single server or branch office environment. It is rugged, removable, easy-to-use, and cost-effective for small offices or home offices with little or no IT resources. The HPE RDX Removable Disk Backup System is designed for harsh work environments where businesses need to protect, manage, transport or capture large amounts of data in less than ideal locations.

The enormous, data-driven potential of emerging technologies like 5G, AI, ML and IoT is creating a plethora of opportunities for businesses to transform their operations. The challenge is that though these opportunities abound, they are truly diverse and may require very different storage optimizations. The highly scalable HPE StoreEver MSL3040 Tape Library offers enormous storage density in a cyber-resilient, scalable and flexible form factor, which can start small but grow very big indeed, all the while costing less to run and own than other archival storage alternatives. With its modular design and ability to upgrade and reuse HPE StoreEver MSL LTO upgrade drive kits, you can cost-effectively store up to 28.8PB of date.¹ The HPE StoreEver MSL3040 Tape Library offers exceptional enterprise features and functionality. It delivers a tape storage solution that addresses long-term data management challenges, while also providing an air-gapped solution against the threat of ransomware.

Are you looking for a Container as a Service (CaaS) solution for your SUSE® environment? SUSE CaaS Platform from HPE is an enterprise class container management solution that enables IT and development operations professionals to more easily deploy, manage, and scale container-based applications and services. Enterprises can reduce application delivery cycle times and improve their business responsiveness. The SUSE CaaS Platform from HPE helps you achieve faster time to value, simplify management and control of your container platform, and increase your return on investment (ROI).

Do you need increased computing performance for high performance computing (HPC) and deep learning?

The HPE Apollo 6500 Gen10 System is an ideal HPC and deep learning platform providing unprecedented performance with industry-leading¹ GPUs, fast GPU interconnect, high bandwidth fabric, and a configurable GPU topology to match your workloads. The ability of computers to autonomously learn, predict, and adapt using massive data sets is driving innovation and competitive advantage across many industries and applications are driving these requirements. The system with rock-solid reliability, availability, and serviceability (RAS) features includes up to eight GPUs per server, NVLink for fast GPU-to-GPU communication, Intel® Xeon® Scalable processors support, choice of high-speed / low latency fabric, and is workload enhanced using flexible configuration capabilities. While aimed at deep learning workloads, the system is suitable for complex simulation and modeling workloads.

The HPE Performance Cluster Manager software is a fully integrated system management solution for all HPE high performance computing (HPC) clusters and supercomputers.
The software offers fast system setup from bare-metal, comprehensive hardware monitoring and management, image management and software updates as well as power management and more.
HPE Performance Cluster Manager reduces the time and resources you need to spend administering your systems, keeps them resilient and running as close to maximum efficiency as possible so you can achieve better return on your hardware investments.

HPE OneView for Microsoft Azure Log Analytics provides a bridge between Microsoft® cloud management services and Hewlett Packard Enterprise hardware infrastructure. It allows you to manage on-premises infrastructure with the same Microsoft tools used for cloud services. HPE OneView for Microsoft Azure Log Analytics brings visibility of the underlying Hewlett Packard Enterprise infrastructure, including hardware, firmware inventory, infrastructure health, status, long term event correlation, and trend analysis. Data is automatically collected from HPE OneView and HPE Synergy is processed using the Azure™ Log Analytics engine running in the Azure public cloud. Licensed as part of HPE OneView and HPE Synergy, HPE OneView for Microsoft Azure Log Analytics is highly extensible and customizable, allowing you to take advantage of cloud based management for your on-premises environment.

Is complexity in your data center slowing you down?

The HPE SimpliVity 2600 gives IT leaders the agility and economics of the cloud with the control and governance of on-premises IT. It delivers a powerhouse hyperconverged solution capable of running some of the world’s most efficient and resilient data centers. This solution dramatically simplifies IT by combining infrastructure and advanced data services for virtualized workloads onto the bestselling server platform in the market. HPE SimpliVity 2600, available on HPE Apollo 2000 servers, is a compact solution optimized for edge and remote office, branch office (ROBO) environments. It also delivers a complete set of advanced functionalities that enables dramatic improvements to the efficiency, management, protection, and performance of virtualized workloads at a fraction of the cost and complexity of today’s traditional infrastructure stack.