Machine Learning for IBM z/OSIBM
Embed AI into critical business applications on IBM zSystems with an end-to-end machine learning platform.
Vendor
IBM
Company Website
Product details
Machine Learning for IBM z/OS® (MLz) is a transactional AI platform that runs natively on IBM z/OS. It provides a web user interface (UI), various APIs and a web administration dashboard with a powerful suite of easy-to-use tools for model development and deployment, user management and system administration.
Easily import, deploy and monitor models to achieve value from every transaction and drive new outcomes for your enterprise while maintaining operational SLAs.
For greater flexibility, Machine Learning for z/OS includes two editions:
- IBM Machine Learning for IBM z/OS Enterprise Edition—a full lifecycle end-to-end AI platform with enterprise AI features like native CICS® and IMS scoring interfaces, Python and Spark scoring services, ONNX and Deep Learning Compiler support and trustworthy AI features like explainability.
- IBM Machine Learning for IBM z/OS Core Edition—a lightweight version of MLz providing the essential services that are REST-API-based for machine learning operations including online scoring capabilities on IBM Z®.
All IBM Machine Learning for IBM z/OS editions can run as a stand-alone solution or infuse it into your enterprise AI capability as a scalable platform.
Benefits
- **AI at speed **Use the unprecedented power of IBM z16™ and the Telum™ AIU with the Machine Learning for z/OS software solution to deliver transactional AI capability. Process up to 228 K z/OS CICS credit card transactions per second with 6 ms response time, each with an in-transaction fraud detection inference operation that uses a Deep Learning Model.
- **AI at scale: **Colocate applications with inferencing requests to help minimize delays caused by network latency. This delivers up to 20x lower response time and up to 19x higher throughput versus sending the same inferencing requests to a x86 cloud server with 60 ms average network latency.
- **Trustworthy AI: **Use trustworthy AI capabilities like explainability and monitor your models in real time for drift to develop and deploy your transactional AI models on z/OS for mission-critical transactions and workloads with confidence.
Editions
- **Enterprise Edition: **An enhanced edition that delivers improved scoring performance, a new version of Spark and Python machine learning runtimes and includes a GUI-guided configuration tool and more.
- **Core Edition: **A lightweight version of WMLz providing the essential services that are REST-API-based for machine learning operations including online scoring capabilities on IBM Z.