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.
Unlock the value of your data where it lives. The HPE GreenLake platform is a fully managed on-premises solution that lets you avoid the costs and risks of moving your data to and from the cloud while meeting compliance and regulatory requirements for privacy and data sovereignty.
HPE Ezmeral ML Ops brings DevOps agility to every stage of the ML lifecycle, and free up your data scientists to concentrate on data science. They can provision testing and development environments in minutes, not days or weeks, through HPE GreenLake Central.
Meet the demands of inherently spiky data sets and model testing while paying only for what you use and with a buffer of extra capacity in place ahead of demand. Plus, you can view your usage at any time with complete transparency with the HPE GreenLake Central platform.
GreenLake Management Services delivered from our world-class IT Operation Centers around the globe, help you fill skills gaps and free up your resources. HPE experts handle the tuning, capacity planning, lifecycle management, firmware updating, and patch management while monitoring critical KPIs.
* Prices may vary based on local reseller.
