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To help you mine continuous streams of value locked in your data, HPE GreenLake delivers a trusted, enterprise-grade AI/ML and analytics cloud-like experience so you can accelerate your data modernization initiatives, from edge to cloud. With a cloud-native architecture, support for open source data science tools, and AI accelerators and frameworks, it provides choice and an elastic, unified analytics platform for data and applications on-premises, at the edge, and in public clouds. The consistent experience helps data, IT teams, developers, and analysts simplify the complexities of machine learning lifecycles and data management at scale, leading to better, faster decisions no matter where your data resides.
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.
You need high performance capabilities to unlock the potential of your data and accelerate innovation and run your modeling, simulation, artificial intelligence (AI), and analytics workloads efficiently. Now you can answer your most challenging questions with HPC for your standard business processes, removing the barriers to HPC and leveraging true HPC technology in this cloud service.
With HPE GreenLake for HPC, organizations can gain the agility to scale the environment with ease and empower users with self-service. The HPE GreenLake platform can deliver superior flexibility, scalability, and control of HPC solutions with a cloud service consumption model on premises. Open up AI, ML and more HPC techniques with this second generation cloud service, now with a lower flexible entry point, more GPU choices, Slingshot high speed networking, and HPE Parallel Storage.
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.
With the adoption of hybrid cloud models, including the movement of apps and data into public cloud environments, organizations have new exposure to a host of regulations governing technical and process controls, data protection and privacy, and more—including GDPR, HIPAA, PCI, and many others. Simply understanding these regulations and their effect is a huge undertaking; the subsequent evaluation of the organization’s processes and behaviors to identify non-compliance is another. And active remediation of compliance failures is a further significant burden.
Do your virtualized workloads need the agility and scalability of the cloud infrastructure to accelerate business outcomes?
HPE ProLiant with VMware vSphere Distributed Services Engine featuring VMware vSphere® 8, improves apps performance by enabling the data processing unit (DPU) to offload networking services from core processors and securely orchestrate virtual workloads. Unlock the value of your apps and data everywhere by transforming virtual infrastructure with agility of the HPE GreenLake edge-cloud platform and end-to-end protection of HPE security solutions.
HPE GreenLake for Networking is a comprehensive network as a service (NaaS) offering that allows you to consume HPE Aruba Networking's market-leading Edge Services Platform (ESP) in a cloud-like way. Acquire and deploy the latest technology and use cases faster and more efficiently. Overcome traditional budgetary obstacles by combining all required hardware, software, and services in a single monthly subscription with no up-front capital expenditures required. Optimize network performance and security by gaining deeper insight into the network environment. Decommission unneeded network devices securely and sustainably.
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.
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.
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 Generation AMD EPYC™ 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 Gen10 and Gen10 Plus v2 servers1 along with the latest AMD EPYC processors, bring together the latest innovations in security and performance.
* Prices may vary based on local reseller.