IBM Cloud Pak for Data System
Get an overview of this high-performance environment.
IBM Cloud Pak for Data System
A data and AI platform-in-a-box
IBM Cloud Pak® for Data System is a complete hybrid cloud on-premises platform-in-a-box. Its preconfigured, high-performance environment is designed to drive insights and speed innovation.
Built on the Red Hat® OpenShift® Container Platform, the system combines storage, compute, networking and software into plug-and-play nodes, so you can scale to meet your business needs. A single intuitive dashboard helps simplify software and hardware management.
Launch a powerful data and AI platform behind your firewall — right out of the box.
Scale to fit your needs
Pay as you grow with plug-and-play hardware nodes and extensive services options.
Unify asset management
Simplify software and system management with a unified and intuitive dashboard.
Overcome data silos
Seamlessly connect and integrate data across all clouds.
Drive data, AI workloads
Choose high-performance hardware that supports data and AI use cases and workloads.
Get use cases in a box
Set up a native Red Hat OpenShift-based cloud-in-a-box inside your data center.
Power and flexibility
Automated AI lifecycle
Merge your data and AI services with IBM Watson® Studio on IBM Cloud Pak for Data System. Prep data, build and deploy models and manage them at scale. Enhance governance with bias and drift detection.
Data science advantages
Unite data and AI services with a single system software interface. IBM Watson Studio, IBM Watson Knowledge Catalog and other services are included.
Adapt to data science workloads
When you face new infrastructure and workload changes, reuse data and models for decision optimization and explainable AI as you evolve AI use cases.
Speed model deployment
Bring models to production more rapidly. Increase performance with system-tuned machine learning and deep-learning libraries.
Reduce manual effort and technical debt
Automate AI lifecycle with system and software integration. Help reduce costs and risks associated with legacy analytic tools.
Optimize AI and cloud consumption
Deploy plug-and-play nodes with pay-as-you-grow capacity. Help simplify, secure and govern AI deployment with trust and transparency across clouds.
Gain containerized management efficiency
Modernize data science workloads natively in Red Hat OpenShift to help reduce infrastructure management costs.
Data exploration features
Operationalize the enterprise data pipeline
IBM Watson Knowledge Catalog automates metadata generation to curate, verify and classify data and quickly connect the right people to the right data.
Organize, define and manage data to provide context that drives value across organizational imperatives like regulatory compliance and data monetization.
Trusted data delivery at scale
Use IBM® DataStage® to cleanse and deliver trusted data anywhere, at any scale and complexity, on and across multicloud and hybrid cloud environments.
Consume and transform data to keep pace with your business. Intuitive dashboards and flows can be easily shared with peers or sent to analytics tools.
Automated governance for compliance
Active policy management and dynamic masking of sensitive data helps to enhance compliance efforts, improve audit readiness and maintain client trust.
Support for 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 for your enterprise data and AI architecture.
Explore the latest resources.
See the IBM Cloud Pak for Data capabilities first hand
Financing IBM Cloud Paks
Flexible payment plans can help you start projects sooner and enhance your ROI.
* Vikram Murali, "How IBM Cloud Pak for Data System delivers rapid value to data-driven businesses", 2019 (link resides outside IBM)