What is IBM Cloud Pak for Data on IBM Z?
It's an exciting time for organizations, who are looking to adopt AI and are dealing with huge volumes of data that come from different data sources. As more and more companies recognize the business value of infusing AI, IBM Cloud Pak for Data on IBM Z and LinuxONE provides the perfect cloud-native solution that enables you to put your data to work quickly and efficiently.
IBM Cloud Pak for Data on IBM Z and LinuxONE enables all of your data users to collaborate from a single, unified interface that supports many services that are designed to work together including collecting data, organizing the data, analyzing the data and infusing AI.
With Cloud Pak for Data on IBM Z and LinuxONE, clients can enable Machine Learning frameworks such as TensorFlow and Snap ML as it leverages the Artificial Intelligence (AI) accelerator chip available on IBM Z16 and LinuxONE Emperor 4. AI models that are trained anywhere can then be deployed without any changes and also exploit the AI Accelerator while inferencing with real time service level agreements.
What's new in IBM Cloud Pak for Data 4.7 on IBM Z and LinuxONE:
1. Auto AI
- Build Machine Learning models automatically. These models result with data driven decision and value for clients.
2. Python 3.10 Runtime
3. Backup and Restore
- Support for online and offline backup and restore.
4. Resource Specification Injection (RSI)
- Enables clients to extend Kubernetes resources.
5. Watson Machine Learning Training Service
- In an earlier release, clients would perform model training through Watson Studio Local Notebooks but it is now possible to perform model training directly from Watson Machine Learning.
6. Snap ML 1.13.x with Graph Based Processor (GBP)
- Generate rich set of edge features by analyzing the graph topology and extracting meaningful substructures. GBP can significantly increase the predictive power of ML models in practical settings.
What can you do with IBM Cloud Pak for Data on IBM Z?
- Build modern, intelligent, interactive applications with embedded AI, co-locating data with business applications and AI inferencing for minimal latency and exceptional performance.
- Leverage Integrated Accelerators for AI to provide Machine Learning acceleration with high throughput and low latency.
- Modernize your data infrastructure, develop and deploy ML/AI models and instantiate a highly efficient analytics deployment that reduces the latency, cost inefficiencies and potential security exposures associated with data movement.
- Securely store and access your most valuable enterprise data within modern hybrid cloud applications.
- Provide a modern private cloud platform while leveraging your existing infrastructure and skills.
- Reduce cost and complexity by consolidating existing Db2 database applications without cloud specific rewrites.
- Modernize your database infrastructure for simpler administration, faster time to value and lower operational costs.
Learn More
Use any of the following methods to contact us:
3. Join the AI on IBM Z Community and engage in discussions. Also find videos, blog and other artifacts in the community as well - Community link
4. Need a workshop on any of the AI on IBM Z use cases or products?
Email our Garage team at: Ce4s@ibm.com