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IBM Cloud Pak for Data on Azure VM - BYOL
IBM Software
IBM Cloud Pak for Data on Azure VM - BYOL
IBM Software
IBM Cloud Pak for Data on Azure VM - BYOL
IBM Software
IBM Cloud Pak® for Data is a unified data and AI platform that runs on any cloud
IBM Cloud Pak for Data is a unified data and AI platform that connects the right data, at the right time, to the right people anywhere. Available on Azure and running on Red Hat OpenShift, the platform simplifies data access, automates data discovery and curation, and safeguards sensitive information by automating policy enforcement for all users in your organization. Make better data-driven decisions and lay the foundation for AI with a data fabric that connects siloed data on-premises or across multiple clouds without data movement. Discover actionable insights and apply trusted data to build, run, automate and manage AI models.
Outcomes:
- Data access and availability: Eliminate data silos and simplify your data landscape to enable faster, cost-effective extraction of value from your data.
- Data quality and governance: Apply governance solutions and methodologies to deliver trusted, business data.
- Data privacy and security: Fully understand and manage sensitive data with a pervasive privacy framework.
- ModelOps: Automate the AI lifecycle and synchronize application and model pipelines to scale AI deployments.
- AI governance: Ensure your AI is transparent, compliant, and trustworthy with greater visibility into model development.
To purchase IBM Cloud Pak for Data via Azure marketplace please email: cpd_on_azure@wwpdl.vnet.ibm.com
Offer Details:
Product Version: 4.6.0
This template deploys IBM Cloud Pak for Data v4.6 on OpenShift Container Platform 4.10 on Azure Virtual Machines (AVM). The ARM template automatically provisions the required Azure Services - Azure Virtual Machines, Azure Virtual Network, Azure Load Balancer, Azure DNS, and Azure Managed Disks. It provides you the opportunity to create or configure - Master and Worker Subnets, Availability Zone, Availability Sets, Custom DNS, Security groups, FIPS-compliant nodes, and User-defined routing.
This template deploys IBM Cloud Pak for Data v4.6 on OpenShift Container Platform 4.10 on Azure Virtual Machines (AVM). The ARM template automatically provisions the required Azure Services - Azure Virtual Machines, Azure Virtual Network, Azure Load Balancer, Azure DNS, and Azure Managed Disks. It provides you the opportunity to create or configure - Master and Worker Subnets, Availability Zone, Availability Sets, Custom DNS, Security groups, FIPS-compliant nodes, and User-defined routing.
Click here for detailed documentation and deployment information including the architecture diagram.
Please note this offer installs IBM Cloud Pak for Data on a customer-managed OpenShift environment on Azure. If you are interested in the Azure-managed RedHat OpenShift environment, please visit IBM Cloud Pak for Data on ARO offer.
Requirements for deploying this template:
- Azure App Service Domain
- Azure Service Principal with Contributor and User Access Administrator roles.
- RedHat OpenShift Pull Secret
- Cloud Pak for Data API Key
Click here to purchase IBM Cloud Pak for Data license on Azure Marketplace.
Cloud Pak for Data offers a try-and-buy experience with a 60-day trial. When you buy Cloud Pak for Data you will automatically get OpenShift entitlements to run your workloads but would be responsible for the Azure infrastructure costs.
For customized pricing or questions please email: cpd_on_azure@wwpdl.vnet.ibm.com
Meer informatie
Getting Started with Cloud Pak for Data Deployment Guide Overview of Cloud Pak for Data Get 60 day Trial API Key Purchase License to Cloud Pak for Data Cloud Pak for Data Knowledge Center Cloud Pak for Data Community Cloud Pak for Data Blogs Cloud Pak for Data Resources Download RedHat Pull Secret Create Azure App Service Domain Create Azure Service Principal Quickstarthttps://store-images.s-microsoft.com/image/apps.8236.d761d54c-6858-48de-a34c-af4e7b12d3f6.2a5f710f-d70b-4d8e-be68-dd126e11945e.20952aa2-9e19-4349-8da8-e592470733f5
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