HPE Data Management Framework 7
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.
Red Hat OpenShift Container Platform
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 Private Cloud AI
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 Ezmeral Runtime Enterprise
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.
HPE InfoSight for 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 Solutions with Cohesity
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 Gen11 servers, HPE ProLiant DL380 Gen10 Plus servers, and HPE ProLiant DL380 Gen11 servers.
HPE SimpliVity 380
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 SimpliVity 325
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.
HPE Ezmeral Machine Learning Ops
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.
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