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While the costs and risks of an on-premises cloud migration are typically lower than those of a public cloud migration, most organizations are looking for a hybrid model that utilizes on-premises cloud, multiple public clouds, and edge computing to deliver the right mix of decision-making effectiveness, agility, security, and cost.
With HPE guiding you through the process, you can achieve your right mix to unlock value in your data wherever it resides, while reducing technological and financial risks. Even though most organizations use an average of five cloud solutions, a majority of core business applications run on expensive, legacy platforms. But with one accountable migration partner with thousands of successful enterprise-wide hybrid and multi-cloud adoption engagements—including HPE GreenLake on-premises cloud with easier, fewer, and less risky steps—you can easily reap the full value of transformation that will move your business forward.
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.
The HPE GreenLake edge-to-cloud platform composable compute solution offers the speed and flexibility you need to compose the workloads that drive business value. Powered by HPE Synergy, the industry's first platform built from the ground up for composable infrastructure, this configuration combines compute, storage, and fabric so all resources are instantly available to run applications—you enjoy the speed, scale, and efficiencies of a cloud experience for your business. It can be delivered to your on-premises or co-located data center in as few as 14 days, and you can extract value for the transition from your existing compute assets—plus support sustainability goals—with assistance from HPE Financial Services.
With composable compute delivered as a cloud service on-premises, you’ll gain agility and avoid costly manual configuration and management of compute resources.
Get a balance of performance, expandability, and manageability across diverse workloads with the HPE GreenLake edge-to-cloud platform for general purpose compute. Built on a foundation of rack-optimized HPE ProLiant DL and HPE Apollo servers, the solution offers scalability in a small footprint, and can be configured to support even your most critical applications and data on premises. HPE Financial Services can even help you manage the end-of-use upcycling of your existing compute assets in a secure and environmentally responsible manner as you migrate to a pay-per-use model.
Your infrastructure is delivered as a service with HPE GreenLake for compute, so you're ready to scale up or down without up-front capital investment, risk of overprovisioning, or extended purchasing and implementation timeframes. And it can be delivered to your on-premises or co-located data center in as few as 14 days.
HPE GreenLake for storage optimized compute delivers the right balance of performance, expansion, and manageability you need to handle your most critical data-driven applications. With the power of HPE ProLiant and HPE Apollo Servers, you get an ultra-dense, rack-scale architecture designed for big data analytics, software-defined storage, backup and archive, and other data-dense workloads.
Your storage-optimized infrastructure is delivered as a service in a pay-per-use model with the HPE GreenLake edge-to-cloud platform, so you're ready to scale up or down without up-front capital investment, risk of overprovisioning, or extended purchasing and implementation timeframes. Plus, you can recover residual value from your existing compute infrastructure, regardless of the original vendor, and support the circular economy with help from HPE Financial Services. And your new infrastructure can be delivered to your on-premises or co-located data center in as few as 14 days.
Are you looking to accelerate deployment of SAS High-Performance Visual Analytics? HPE Converged Infrastructure for SAS High-Performance Visual Analytics is optimized for the in-memory analytics engine, scaling from 1, or 4 to 256+ HPE ProLiant BL and DL Servers, delivering analytical results to Web browsers and mobile devices in seconds to minutes. These pre-approved configurations support deployments of non-distributed to highly distributed environments. Flexible SMP and MPP configurations that are sized to your workload, and are integrated by the HPE factory closest to you, wherever you are worldwide, regardless of the organizational size. HPE performs onsite installation, working with you to verify network connectivity before a SAS® consultant completes the final software setup. HPE Financial Services offers financing for the total solution, both HPE CI and SAS solutions alike. This solution enables the co-existence of data nodes with Cloudera®. They are supported by SAS EEC.
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.
Are you looking for a quick way to create private cloud solutions for your organization?
HPE CloudSystem built on ConvergedSystem 700x provides one of the most open private cloud solution on the market because as it supports multi-hypervisor, multi-OS, and heterogeneous infrastructure environments. Built on HPE Cloud OS, the OpenStack technology foundation shared by all HPE Converged Cloud offerings, CloudSystem lets you be assured your cloud journey remains integrated, while remaining open and flexible.
It is an integrated hardware, software, and services solution that allows both virtual and physical provisioning since Virtual Connect is included in the solution. You can reduce risk with an open and flexible cloud solution with OpenStack APIs and bursting capabilities to HPE Public Cloud, Windows Azure, SFR, and Arsys cloud environments.
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.
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.