Data Center Infrastructure Solutions
Secure and agile servers, storage, networking, management, and services that provide a consistent experience and economic control across hybrid cloud data center infrastructure experience.
Leveraging your Data and Accelerating Digital Transformation from Edge to Core to Cloud
Hybrid cloud helps you accelerate digital transformation and harness the power of your applications and data from the edge to core to cloud. Core infrastructure includes servers, storage, networking, data management software, container software and analytics platforms, as well as services, all of which enable scale, performance, security, agility, and economic efficiency to support any workload.
What is Data Center Infrastructure?
Data center infrastructure is all of the physical components that form and support a data center. Servers are, of course, a major form of data center infrastructure, but this category also includes things like networking routers and switches, storage systems, and firewalls, as well as server racks, redundant power sources, and cooling devices.
A Next Generation Data Pipeline and Modern Data Lake from HPE
Gain cloud-like agility, scale, performance, security, and economic control of your data pipeline HPE infrastructure solutions.
Agility with HPE data center infrastructure
Enable agile application development and IT operations with software-defined data infrastructure and workload-optimization solutions.
Security with HPE data center infrastructure
Protect your business and data, powered by the world’s most secure industry-standard servers.
Consumption-based HPE data center infrastructure
Deploy pay-per-use IT for your data center infrastructure that’s flexible, fair, and fully transparent, with metered usage.
There’s a clear roadmap you can follow on your digital transformation journey. Learn more about it in this Moore Insights digital transformation report.
HPE InfoSight delivers AI-driven operations
Transform how infrastructure is managed and supported, optimize performance, and predict and prevent problems by combining cloud-based machine learning with health and performance monitoring.