HPE GreenLake for AI, ML, and analytics
Drive your data-first modernization.
Power digital transformation from edge to cloud
Organizations in every industry are looking to leverage artificial intelligence (AI) and machine learning (ML) to harness the power of their data and deliver business value. 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: lack of data control, data egress costs, security, AI ethics concerns, lack of expertise and deployment flexibility, siloed data and workflows, edge deployments, and daunting operational costs.
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.
Unify and share analytics
Take control of your data and achieve up to 35% more efficiency
Operationalize and automate machine learning
Accelerate development with the agility of a cloud-like experience to standardize and operationalize the machine learning lifecycle from planning to model development, training, deployment, and monitoring. With the ability to provision testing and development environments in minutes, you gain targeted, rapid innovation that can evolve quickly in response to changing data.
Scale and modernize AI infrastructure
Deploy converged high-performance computing (HPC)/AI workloads on GPUs and high-performance clusters with predictable, transparent costs. You can quickly scale as needed with next-generation architecture and, using continuous monitoring, you can right-size capacity and even enable capacity-bursting on-site, on demand.
Extend your resources with AI and data expertise
Tap the broad and deep set of HPE experts in AI/machine learning, analytics, HPC, cloud, Edge/IoT services and position your developers and data scientists for successful AI solution deployment. With comprehensive support, your IT operation teams can bridge their knowledge gap and sustain your AI solutions at enterprise scale. Named a leader in IDC’s AI IT Infrastructure Services MarketScape, HPE is helping hundreds of global customers accelerate their data-first modernization journey.
Experience HPE GreenLake cloud services
Take HPE GreenLake for a no-cost, no-obligation test drive. This guided, hands-on experience allows you to explore cloud services in a live production environment.
HPE GreenLake for data fabric
Realize the potential of all your data wherever it lives with an edge-to-cloud logical data store delivered as a fully managed service by unlocking the potential of globally unified data. 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 the insights that you need to innovate and drive your business. A single solution that combines the best edge-to-cloud experience with unified hybrid data so you can accelerate business innovation. This fully managed solution reduces the cost of analytic initiatives by providing a high performance approach to your data that can be managed, secured, and deployed edge to cloud.
HPE Ezmeral Unified Analytics architecturally optimizes and leverages the industry’s first cloud-native solution on-premises, enabling you to scale up Apache Spark lakehouses and speed up AI and ML workflows. Spanning from edge to hybrid cloud, this data platform offers a consistent environment to avoid silos and make data engineering easier.
The HPE GreenLake end-to-end data science platform for ML Ops brings DevOps agility to the machine learning lifecycle—speeding data science workflows and enabling data scientists to accelerate the time to value of ML projects. This service is powered by HPE Ezmeral ML Ops.
HPE GreenLake for HPC is a consumption-based solution that is fully managed and operated for you, just like public cloud. But you can also choose from the world’s most-proven, market-leading HPC systems, pre-integrated and optimized by HPE and partners for your AI modelling, training, and simulation workloads. And with built-in operational support, you have access to the right level of expertise for improved ROI.
AI and analytics solutions
Together with our alliance and ISV partners, HPE delivers industry-focused AI solutions, tools, and services with HPE GreenLake deployment options. A proven global leader, HPE helps you rapidly design and deploy your AI and analytics solutions, such as HPE GreenLake for Epic and Splunk, or AI solutions for banking, manufacturing, or healthcare.
Storage services for AI and analytics
Address your growing unstructured data needs for AI with storage solutions from HPE GreenLake featuring Scality and Qumulo. Scale and manage billions of files with instant control and the ability to perform actionable analysis quickly. Features like deep and rich data analytics built into the file system help you understand your data in ways you never could before.