IBM Machine Learning for z/OS
Accelerate your business insights at scale with transactional AI on IBM z/OS
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Please Note: All Prices are Inclusive of GST
Overview:
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.
IBM Machine Learning for IBM z/OS Enterprise edition offers a full end-to-end lifecycle 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, such as drift and explainability.
Features:
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.
- Real-time Inference: In-transaction scoring through native CICS and WOLA interface for CICS, IMS, and BATCH COBOL applications, and RESTful interface.
- Supported Engines: SparkML, Python, PMML, IBM SnapML, Watson Core Time Series.
- Model Lifecycle Management: Guided UI, RESTful services.
- Telum II: ONNX and IBM SnapML models.
- Trustworthy AI: Explainability and drift monitoring.
Benefits:
AI at speed
Use the unprecedented power of IBM z17™ and the Telum™ II with the Machine Learning for z/OS software solution to deliver transactional AI capability.
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.
Specifications:
Technical details
Machine Learning for z/OS uses both IBM proprietary and open source technologies and requires prerequisite hardware and software.
- z17™, z16™ or z15®
- z/OS 3.2, 3.1 or 2.5
- IBM 64-bit SDK for z/OS Java™ Technology Edition version 8, 11 or 17
- IBM WebSphere Application Server for z/OS Liberty version 22.0.0.9 or later
- Db2 13 for z/OS or later (only if you choose Db2 for z/OS as the repository metadata database)
Pricing Notes:
- All Prices are Inclusive of GST
- Pricing and product availability subject to change without notice.
Our Price: Request a Quote