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Consume pre-architected and validated end-to-end hybrid cloud managed services with an existing, brownfield IT environment that provides a full view into your consumption and use across your entire hybrid cloud and multi-cloud estate. With the HPE GreenLake edge-to-cloud platform, you can consume, manage and control all your cloud services from a single, self-service dashboard, enabling your IT staff to focus on business outcomes, such as developing new applications and services to attract more customers and grow revenue. It’s time for a simplified solution that helps you get the most from hybrid cloud without high costs and a steep learning curve. The HPE GreenLake platform reduces risk and complexity while accelerating cloud adoption with automated cloud operations to manage and optimise performance, costs, security and compliance.

The edge is where people, devices, and things connect. Here, systems and secure connectivity enable data to be analyzed at its source, creating more personalized experiences, new products and services, and enhanced efficiencies. But many organizations struggle to take advantage of the opportunities at the edge due to massive data growth, sensor sprawl, silos, a distributed landscape, and networking and security challenges.
With the HPE GreenLake platform, organizations can streamline the deployment of an edge-to-cloud solution stack across their locations. From networking to compute and storage to workload orchestration and more, all are available at scale.

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.

Enhance accuracy, competitiveness, product quality, and time to market. With the HPE GreenLake platform, you can transform your data-intensive applications and gain the visibility, control, and performance of hybrid cloud while maintaining the utmost security and compliance your industry demands. Power your business with the improved performance, agility, operational efficiency, and lower costs provided by cloud services that are designed, optimized, and delivered for critical industry vertical and horizontal workloads.
With the HPE GreenLake platform, you can run your business-critical applications on-premises, at the edge, or in colocation centers with the scalability and agility you need without the cost, risks, and complexity associated with the public cloud. Spend your time responding to changing customer demands and discovering new ways to better serve them instead of infrastructure management.

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.

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.

Real-time data, coupled with rich analytics, is fueling the digital transformation of today’s enterprises. To get the most out of your SAP HANA platform, the infrastructure that supports it must address rigorous availability, security, and reliability standards, which often span on-premises, hybrid architectures, and even multiple clouds. Gain superior performance and agility by running your mission-critical workloads on some of the biggest and fastest bare metal appliances available today, all in a pay-per-use model with the HPE GreenLake platform.

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.

Does your enterprise need a persistent data store that unifies data and modernizes applications?

HPE Ezmeral Data Fabric ingests and stores different data types across data lakes, on-premises, cloud, and edge environments to provide a persistent data store that can be leveraged across multiple use cases. The global data fabric and namespace enables teams to access data wherever it resides while maintaining governance, security, and geographic data regulations. Broad API support allows legacy and modern apps and AI/ML tools to access common datasets without changing existing access patterns or moving data before analysis can begin. Customized for analytics, customers can run Apache™ Spark, Delta Lake, or Livy on top of this foundational layer to achieve enterprise-wide impact. This solution is an excellent starting point for enterprises with a board-level mandate to use data to create a digital advantage for the organization.

HPE Ezmeral Container Platform is a software platform for deploying and managing containerized enterprise applications with 100% open-source Kubernetes at scale—for use cases including machine learning, analytics, IoT/edge, CI/CD, and application modernization.

Kubernetes has emerged as the de-facto open-source standard for container orchestration and a fundamental building block for cloud-native architectures. However, while it is straightforward to deploy modern, cloud-native applications in containers, these represent a small portion of enterprise applications. The vast majority of enterprise applications are still non-cloud-native or monolithic. The challenge is to deploy and run these monolithic applications in containers, without re-architecting them.

In addition, as enterprise organizations extend the use of containers and Kubernetes beyond development and testing to production environments, they need to address key considerations including security and data persistence.