Deep dive: thermal gradients are HBM's #1 scaling bottleneck, says new architecture breakdown
blaizedsouza · x · 2026-09-14
Silicon Co-Design published a paid deep dive on HBM system architecture, tracing its evolution from commodity DRAM to AI's most critical component and covering alternatives like HBF.
Key points:
- System breakdown of DRAM fundamentals, core die vs base die features, and a case study of Samsung's HBM4 architecture from ISSCC 2026, with comparisons to SK Hynix and Micron.
- Major scaling limits: thermal gradients in the stack (the author's pick for the #1 problem), TSV area inefficiency, RAS challenges, and wide-and-slow I/O signal integrity physics.
- Emerging trends: hybrid bonding, logic-node base dies with features offloaded from the XPU, direct memory extension, and 3D integration.
A companion piece covers SRAM scaling limits.
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