| Yes—IBM appears strategically comfortable operating a node or two behind the leading-edge shrink curve, prioritizing system-level performance, memory bandwidth, and AI integration over raw transistor density. 
 Here’s how that plays out in their current roadmap:
 
 IBM’s Node Strategy: Enhanced 7nm, Not 5nm
 
 Architectural Priorities Over ShrinkPower11 CPU (2025): Built on Samsung’s enhanced 7nm node, not 5nm or 3nm like Apple, AMD, or NVIDIA.Why? IBM cited client preference for speed over density, choosing higher clock rates and memory bandwidth rather than chasing smaller geometries.Packaging Focus: Power11 uses 2.5D stacking with Samsung’s iCube SI interposer, enabling high-speed memory and AI acceleration without needing a leading-edge node.
 
 IBM’s philosophy is system-centric, not chip-centric. They optimize for reliability, scalability, and integration across hybrid cloud and regulated enterprise environments.Matrix Math Acceleration: In-core MMA engines for AI inferenceSpyre AI Attachments: External ASICs for scalable AI workloadsOMI Memory Architecture: Up to 32 DDR5 ports per socket, yielding 4× bandwidth vs prior genQuantum-Safe Security: Embedded in z-series mainframes, prepping for post-quantum threats
 
 
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