As organizations advance their AI adoption strategies, the need for a trusted, secure, and high-performance platform has never been greater. IBM z17 is purpose-built to help enterprises unlock the full value of AI while maintaining the reliability, security, and scalability essential for mission-critical operations.
IBM z17 helps organizations bring AI closer to their mission-critical data and business processes, enabling them to:
• Drive faster business outcomes and fuel business growth
• Unlock new Agentic AI services and speed innovation
• Modernize faster to free up development resources
By integrating AI directly into the core of the enterprise, organizations can move from experimentation to execution, transforming insights into measurable business value.
Operational efficiency remains a top priority for organizations seeking to maximize performance and agility. IBM z17 helps enterprises:
• Slash operational complexity
• Expedite insights and eliminate blind spots
• Get the most out of their investment
These capabilities enable organizations to improve productivity, increase responsiveness, and create a more resilient operational foundation for the future.
As cyber threats continue to evolve, organizations require a platform designed to safeguard sensitive data and maintain trust. IBM z17 helps enterprises:
• Strengthen cyber resilience
• Increase transparency to reduce risk
• Simplify security and compliance operations
By embedding security throughout the platform, IBM z17 helps organizations protect critical workloads while supporting regulatory and business requirements. Real-time, on-chip AI is central to this story: with IBM z17, organizations can process up to 450 billion inference operations per day with 1 ms response time using a credit card fraud detection deep learning model, bringing fraud detection and risk scoring directly into the transaction.
For SDS, the IBM z17 announcement reinforces a principle that has guided our work since 1982: the most valuable data in the enterprise belongs on the most secure platform in the enterprise. As a mainframe software company specializing in security, encryption, network management, and application modernization, we see the z17 as a meaningful step forward for the customers we share with IBM.
As enterprises move AI closer to their core data, the security and compliance perimeter around that data becomes more important, not less. This is where SDS and IBM work in tandem. SDS solutions extend the protections built into the platform. VitalSigns SIEM Agent (VSA) delivers real-time mainframe security event monitoring that feeds enterprise SIEM platforms, helping security teams eliminate blind spots across z/OS, and IronSphere automates z/OS DISA STIG compliance, turning a slow, manual audit process into continuous, transparent assurance. Together with the IBM z17 and the IBM Telum II™ processor, these capabilities help clients strengthen cyber resilience, increase transparency to reduce risk, and simplify security and compliance operations.
The same on-chip AI that makes the z17 a powerful platform for fraud detection and real-time inferencing also raises the stakes for governance. Our customers, including IT infrastructure leaders, security and compliance officers, and mainframe engineers, are asking how to adopt AI and automation without expanding their attack surface or compromising audit readiness. SDS exists to answer that question on the mainframe, and the z17 gives our mutual clients a stronger foundation to build on.
This announcement matters because it advances the platform our customers already trust with their most sensitive workloads. As an active member of the IBM Partner Program, SDS is proud to partner with IBM on the launch of IBM z17 and to help enterprises capture its value securely, compliantly, and at scale.
Performance disclaimer
Performance results are extrapolated from IBM® internal tests conducted on IBM Systems Hardware of machine type 9175. The benchmark was executed with 1 thread performing local inference operations using a LSTM based synthetic credit card fraud detection model to exploit the Integrated Accelerator for AI. A batch size of 160 was used. IBM Systems Hardware configuration: 1 LPAR running Red Hat® Enterprise Linux® 9.4 with 6 IFLs (SMT), 128 GB memory. 1 LPAR with 2 CPs, 4 zIIPs and 256 GB memory running IBM z/OS® 3.1 with IBM z/OS Container Extensions (zCX) feature. Results may vary.
IBM z17, IBM Telum II, IBM z16, IBM z/OS, and IBM are trademarks or registered trademarks of International Business Machines Corporation. Red Hat and Red Hat Enterprise Linux are trademarks or registered trademarks of Red Hat, Inc. or its subsidiaries.
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