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Do you need an operating system specifically designed to run demanding HPC applications? HPE Cray Operating System is a suite of high-performance software designed to run large, complex applications at scale. Based on standard SUSE Enterprise Linux, the software provides many features designed to improve application efficiency, reliability, management, and extend data access.
Is your HPE Slingshot interconnected system delivering high performance and efficiency? HPE Cray Supercomputing Fabric AIOps Software fuses large scale telemetry data ingest with job and topology information to power analytics that deliver insights into interconnect behavior and possible issues. Understanding how a large complex interconnected computing system behaves is a daunting task. The unique telemetry from HPE Slingshot’s premier congestion management capabilities and HPE Cray Supercomputing Fabric AIOps Software provides insights which can be used to increase system, workload and application performance, and improve return on investment while reducing the burden and costs of operating a complex system. By Informing system administrators of congestion hot-spots, anomalies, and patterns in the interconnect traffic, HPE Cray Supercomputing Fabric AIOps empowers them to more rapidly detect potential issues, unveil relationships, take preventive action, and improve operations.
Are you spending too much time and money on server updates?
Smart Update Manager (SUM) and the Service Pack for ProLiant (SPP) combine to create the Hewlett Packard Enterprise Smart Update Technology to solve the problem of time-consuming, expensive, and error-prone updates.
SUM is an innovative tool for keeping the firmware, drivers, and system software of HPE ProLiant, HPE Synergy, HPE BladeSystem and HPE Moonshot infrastructures and associated options up to date and secure.
SUM discovers the installed hardware and the current versions of firmware, drivers, and system software, provides an update recommendation, and applies the updates in an efficient order to reduce impact on operations.
SUM provides a variety of interfaces for applying updates, so you can pick the interface that meets your needs. Update the servers while they are offline or online, locally or remotely via web browser, or interactively or automatically.
Are you experiencing a challenge quickly obtaining and securely acquiring data insights for business analysis with clear traceability? Edge to Core Analytics is the solution for you.
Cloudera DataFlow (CDF), formerly Hortonworks DataFlow (HDF), is a scalable, real-time streaming analytics platform that ingests, curates, and analyzes data for key insights and immediate actionable intelligence. Use Hortonworks DataFlow QuickSpecs for current SKU numbers.
DataFlow addresses the key challenges enterprises face with data-in-motion: - Processing real-time data streaming at high volume and high scale - Tracking data provenance and lineage of streaming data - Managing and monitoring edge applications and streaming sources
Are you a communications service provider (CSPs) that wants to deploy a carrier grade data center using OpenStack®?
HPE Helion OpenStack Carrier Grade Software for NFV is a carrier grade OpenStack distribution plus compute and network virtualization offering for network functions virtualization (NFV) that enables CSPs to deploy NFV applications on open source software platforms. A carrier grade platform requires the successful integration of many core technologies that are outside the realm of the base OpenStack project. Some key examples include the host operating system (for example, Linux®), server virtualization (KVM), network virtualization (vSwitch), and SDN controllers. It is built on the same foundation as the HPE Helion OpenStack Enterprise Edition, and adds significant enhancements in three key areas, carrier grade features and manageability, availability, and performance.
HPE Intelligent Management Center (IMC) Software, with the optional HPE IMC Virtual Application Networking Fabric Manager Software, includes added functionality called HPE FlexFabric Network Analytics. When HPE FlexFabric Network Analytics is combined with the HPE FlexFabric 5940 or 5950 Switch it delivers real time visibility of microburst network congestion which negatively impacts overall network operations and performance. Microbursts last only for sub seconds making its detection difficult by today’s network monitoring tools such as SNMP. HPE FlexFabric Network Analytics enables the network operator to pinpoint these microburst congestion points and their sources. This gives the network operator granular visibility into these spontaneous congestion points. With this information operators will be able to analyze in more detail their network configuration and make the necessary adjustments as needed for optimal network performance.
Troubleshooting server hardware issues taking too much time and information that could assist you in troubleshooting not captured? Myriad of tools and log files driving you crazy? HPE Active Health System is an essential component of the iLO Management Engine portfolio. It is an industry-first technology that provides continuous, proactive health monitoring of over 1600 system parameters. 100% of configuration changes are logged for more accurate problem resolution. SmartMemory and SmartDrive devices log failure information to accurately document events and avoid inadvertent re-use of failed components. This enables customers to start problem analysis faster and spend less time reproducing or describing errors For support, hand off the Active Health System log file to HPE support and get your issue resolution. You can also view the error information contained in the Active Health System Viewer by uploading your Active Health System file to https://infosight.hpe.com/app/login
Are you struggling to manage your Edge devices in a way that you are accustomed to in a data center environment? The HPE Edgeline Infrastructure Manager Software (EIM) makes it simple to deploy and manage HPE Edgeline systems in any location. It allows administrators to aggregate the management of their Edgeline systems under a single application over wired and wireless interface (WiFi, LTE and such). The HPE Edgeline Infrastructure Manager easily conveys both routine and critical metrics in an easy-to-read graphical interface. It supports discovery, provisioning, and updating at scale to manage firmware, option settings, and networking parameters. Designed with standards-based API, HPE Edgeline Infrastructure Manager Software is an industry-leading Edgeline tool that is ideal for administrators who need to closely manage their servers and Edge systems both inside and outside the data center environment.
Tired of installing agents on your servers to monitor them? With the HPE Agentless Management solution, the management software (SNMP and Redfish) operate within the HPE Integrated Lights-Out (iLO) firmware instead of the host’s Operating System (OS) freeing up memory and processor resources on the host’s OS for use by server applications. No agents in the OS means no opening up networks ports reducing security threats, especially for those platforms that may interface directly to the Internet. With HPE Agentless Management in addition to monitoring all key internal subsystems (such as thermal, power, and memory), iLO sends SNMP management alerts directly to any Datacenter Information Management system such as HPE OneView, HPE System Insight Manager (SIM) etc., even with no host OS installed or running.
The optional HPE Agentless Management Service can collect and send specific OS and device information that cannot communicate with the iLO, to the iLO via the PCIe bus.
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.