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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.
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 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.
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.
Is your IT operations team overloaded with too many alerts and too many tools?
Is the performance of your applications suffering because you're unable to quickly resolve infrastructure incidents?
OpsRamp, a Hewlett Packard Enterprise company, is a SaaS-based ITOM solution that delivers total visibility across on-premises, cloud, and cloud-native environments, centralizes infrastructure monitoring and management of business-critical services, and improves operations through automation and integration with your existing ITOM and ITSM toolsets. OpsRamp helps modern IT operations teams align with the business for delivering innovation, respond faster, and automate procedures to help reduce operating costs and keep your applications performing to expectation. By improving operational efficiencies and governance, your team will be more productive in supporting more strategic business objectives. Centralize your IT operations with OpsRamp today.
The HPE Edge Center is a complete self-contained, single cabinet modular, and software-defined data center, which enables any IT environment at the edge. It protects compute, network and storage infrastructure while providing industry first edge management control system which enables edge management automation. The HPE Edge Center provides flexibility to deploy computing fast and efficiently, where and when you need it. The perfect solution for Industrial IoT as well as other enterprise edge or AI workloads.
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.
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.
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.
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.