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In this interview from the AI Data Pipeline Forum 2026, CT Sun, chief technology officer and vice president of engineering at AIC, joins theCUBE's John Furrier to discuss why memory and storage are becoming more critical than compute in modern AI infrastructure. Sun compares AI systems to the human brain, explaining how experience and recall, not just raw processing power, drive intelligent output. He details how tiered memory architectures, from high-bandwidth memory down to cooler storage layers, let systems keep frequently needed context close while offloading less urgent data, mirroring how human memory prioritizes recent and relevant experiences. The conversation also explores how persistent key-value caches support reasoning and inference by preserving context without forcing systems to recompute from scratch. Sun breaks down the challenge of designing hardware platforms that can flex across dramatically different latency, bandwidth and capacity requirements at each memory tier, requiring close collaboration with SSD and component companies. He describes AIC's move toward disaggregated, converged storage architectures connected via NVMe over Fabrics, allowing compute and data to scale independently without bottlenecks. From human cognition to neuron-like fabric interconnects, Sun illustrates how storage and networking innovation is becoming foundational to building AI systems that can truly remember. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - ScaleFlux AIC: Memory and Storage for AI 04:18 - Human-Inspired AI Memory for Inference and Reasoning 06:41 - Tiered Memory and Storage for Persistent KV Caches 10:22 - Disaggregated Storage Using NVMe Over Fabrics #theCUBE #AIDataPipelineForum #theCUBEresearch #AIC #AIInfrastructure #DataStorage

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