Enterprise Solutions

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.

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.

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.

Is complexity in your data center slowing you down?

HPE SimpliVity 380 gives IT organizations the agility and economics of the cloud with the control and governance of on-premises IT and HPE GreenLake for Private Cloud Business Edition integration. It delivers a powerhouse Hyperconverged Solution optimized to support the world’s most efficient and resilient data centers. This solution dramatically simplifies IT by combining infrastructure and advanced data services for virtualized workloads on a single device. Delivered on HPE ProLiant DL380 servers, a compact, scalable, 2U rack-mounted building block that consolidates server, storage, and storage networking services. By delivering a complete set of advanced functionalities, SimpliVity solutions enable dramatic improvements in the operational efficiency, management, protection, and performance for general purpose virtualized workloads for a fraction of the cost and complexity compared to today’s traditional infrastructure stack.

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 Solutions with Cohesity combine optimized HPE ProLiant servers or HPE Alletra Storage servers with Cohesity software to deliver a multi-cloud, data platform. The solution includes a comprehensive range of data management services, available on-premises or from the cloud. HPE Solutions with Cohesity are designed with a flexible architecture, which allows easy expansion to additional use cases, further increasing operational simplicity and reducing TCO. HPE Solutions with Cohesity are built on HPE Alletra Storage Server 4120, HPE ProLiant DL320 Gen11 Servers, HPE ProLiant DL325 Gen11 Servers, HPE ProLiant DL345 Gen 11 Servers, and HPE ProLiant DL380 Gen10 Plus Servers.