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AI at the core: IBM z17 reimagines the mainframe for modern enterprise
- IBM Z recently launched the z17, marking a shift in its role towards new business models and deeper enterprise integration.
- The z17 platform reflects IBM's focus on client priorities and AI integration, with a strong emphasis on user research.
- AI architecture of the z17 includes Telum II processors for increased AI workload throughput and integration of watsonx platform.
- IBM z17 aims to reduce latency in AI-powered tasks with on-chip accelerators, enabling real-time processing for applications like fraud detection.
- The platform also simplifies mainframe usage for a new generation, emphasizing DevOps practices and system admin role simplification.
- IBM Z's z16 release saw significant revenue growth, showcasing the mainframe's resilience and growing importance in hybrid cloud and digital transformation.
- With the z17, IBM enhances hardware for enterprise-grade AI, focusing on speed, embedded inferencing, and reduction of external dependencies.
- IBM's convergence of hardware and software innovation reshapes the mainframe as a fully integrated platform for various enterprise needs.
- IBM Z software strategy led by Skyla Loomis aims to simplify operations, reduce complexity, and invite new developers and operators into the Z ecosystem.
- The Z software integrates AI to automate tasks, enhance productivity, and unlock insights from proprietary data, improving compliance and security.
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