What is IBM Cloud Pak for Data System?

Cloud Pak for Data System is an all-in-one cloud-native Data and AI platform in a box, providing a pre-configured, governed, and secure environment to collect, organize and analyze data. Built on Red Hat OpenShift Container Platform, Cloud Pak for Data System enables you to take advantage of a broad set of data and AI services and integrate them quickly into applications to accelerate innovation. This hyper-converged system combines storage, compute, networking and software into plug-and-play nodes and speeds private cloud deployment to a matter of hours. A single intuitive dashboard simplifies software and hardware management and you benefit from a flexible pay-as-you-go capacity model.

→ Learn more (PDF, 297 KB)

Benefits

Simplify deployment

Rapidly stand up a new private cloud data and AI platform, behind the firewall, in a matter of hours.

Scale to fit needs

Pay-as-you-grow capacity with plug-and-play hardware nodes and an intuitive software app store.

Accelerate in-database analytics

Optimize performance of in-database analytics and enable complex algorithms to run in minutes, not hours, with the included IBM Performance Server for PostgresSQL.

Overcome data silos

Seamlessly connect and integrate data across all clouds.

Optimized hardware

Get integrated FPGA hardware acceleration for AI inference that supports common data and AI use cases and workloads.

Unified management

Simplify software and system management with a unified and intuitive dashboard.

Learn how to support all your data and AI needs

Do you have a cohesive data strategy and architecture to support all your data and AI needs? Read the IBM Cloud Pak for Data System solution brief to learn how you can quickly scale and deploy a complete private cloud in a matter of hours, for your enterprise data and AI architecture.

→ Explore product details (PDF, 175 KB)

Next steps

Read the blog

  • Accelerate your journey to AI with a hyper-converged data and AI system.

Talk to an expert

  • Get personalized guidance on IBM Cloud Pak for Data.

Try it

  • See the IBM Cloud Pak for Data capabilities first hand.