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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.
The HPE Ezmeral Unified Analytics solution modernizes legacy data and applications to optimize data-intensive workloads from edge to cloud to deliver the scale and elasticity required for advanced analytics.
Organizations in every industry are looking to leverage AI and ML to harness the power of their data and deliver business innovation through data science. But even when they achieve some measure of success with machine learning pilot programs, many organizations face challenges when they seek to scale these programs to production: security concerns, legacy hardware, siloed data and workflows, inefficient processes, and daunting costs.
To deliver the value of ML and data science to your enterprise, the HPE GreenLake platform delivers an enterprise-grade ML cloud service that enables developers and data scientists to rapidly build, train, and deploy ML models—from pilot to production, at any scale. This solution comprises an optimized hardware stack and is powered by HPE Ezmeral ML Ops. It provides data scientists with self-service access to a sandbox environment for prototyping and testing, to eliminate IT provisioning delays, ensure repeatability, and accelerate time-to-value.
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.
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 Sustainability Insight Center provides energy and carbon emissions reporting through a unified console to empower customers to make impactful changes, lower costs and achieve their sustainable IT goals.
The HPE Sustainability Insight Center provides a current view of the total energy consumption for HPE Compute devices that are managed by HPE GreenLake for Compute Ops Management and HPE GreenLake for Compute Ops Management – OneView Edition, including information about greenhouse gas (GHG) emissions1, and costs associated with your energy consumption.
Measures the carbon footprint of HPE IT assets based on actual energy usage.
Analyzes telemetry aggregated across sites and provides cumulative totals and averages.
Reports carbon footprint and energy costs across sites (per device and site location).
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