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HPE Telco Blueprints
HPE Telco Blueprints are validated reference configurations based on HPE infrastructure platforms and partner-sourced virtual infrastructure manager (VIM) offerings that are customized for specific NFV use cases. These blueprints are offered with automated configuration toolkits and documentation to simplify the install and build of the NFV infrastructure stack.
HPE Network Functions Virtualization (NFV) Validated Configurations
Are you looking to move HPE Network Functions Virtualization (NFV) solutions into your production networks? Most Communication Service Provider (CSPs) are seeking technology that is easily operationalized, highly available and accommodates lifecycle management. HPE Network Functions Virtualization (NFV) Validated Configurations (VCs) provide CSPs with a verified, pre-integrated NFV platform backed with end-to-end solution support. The NFV VCs are co-designed with customers including their choice of 3rd party hardware and software components – leveraging HPE’s extensive knowledge of NFV best practices. The NFV VCs provide flexibility, accelerated deployment, reduced risk, faster time to value, and finally NFV solution aware support with a single point of contact. It suits CSPs who have made specific choices in software, server, or networking technologies or vendors, but still want to make NFV deployment fast and risk-free.
HPE GreenLake for Data Fabric
Most enterprises store diverse data types across multiple platforms, such as on-premises data centers, multiple clouds, and at the edge. Each environment becomes an independent silo that restricts access to the data and the insights they contain. This means slower time to modernize analytics and gain the insights that you need to innovate and drive your business.
The HPE GreenLake platform offers a fully managed, on-premises service containing an analytics-ready data fabric for hybrid environments. From a single management view, it allows you to set up, administer, and manage globally distributed data sets across edge-to-cloud deployments. It lowers risk by providing infrastructure in a pay-per-use model, while HPE Ezmeral Data Fabric modernizes analytics and data management, unifying different data types across on-premises, multi-cloud, and edge, and delivering seamless access to a trusted source of data.
HPE Media Workflow Master
Looking for a software solution to modernize media asset operations and remain competitive with new technology but without a large capital expense? HPE Media Workflow Master is a modernized integrated media asset management platform built on an open architecture that uses the latest IT technologies, orchestrates multiple functions from disparate systems into a single collaborative solution. The solution enables customers to be more competitive by reducing the time to market with rich media content. The open source architecture allows customers to have the freedom to choose which vendors’ products will work best for their media processing needs without being locked-in to a costly proprietary platform. HPE Media Workflow Master focus on media management and metadata enrichment for on demand and live content. It is a framework that gives you the flexibility to remain current with new technology and new media formats.
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 DL360 Gen10+ Servers, and HPE ProLiant DL380 Gen10+ Servers.
Cray ClusterStor E1000 Storage Systems
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.
HPE Helion OpenStack Carrier Grade Software for NFV
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.
OpsRamp
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.
HPE GreenLake for Database
Many enterprises have their high-performance databases supported by traditional infrastructure. Managing these segregated workloads results in burdensome manual processes that can expose your database to costly human error. In addition to high maintenance costs, database sprawl, and increased security risk, such siloed operations on traditional infrastructure result in slow provisioning, inflexibility, poor quality insights, and expensive workarounds for disaster recovery.
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.
* Prices may vary based on local reseller.
Get advice, answers, and solutions when you need them. For general questions, email us at hpestore.quote-request@hpe.com