This on-stage interview recorded at NVIDIA GTC 2026 features Gemma Allen of theCUBE and NYSE Wired, host, in conversation with CT Sun of AIC, chief technology officer and vice president of engineering, and Pompey Nagra of Solidigm, product and ecosystem marketing. The discussion focuses on storage architecture and solid-state drive innovation for artificial intelligence inference, including key-value cache, disaggregated architectures and liquid cooling. CT Sun of AIC outlines AIC’s 30-year platform experience and a multi-tier storage model from graphics processing unit high-bandwidth memory through local solid-state drive to content-extended memory. Sun highlights accelerating demand for key-value cache and multi-tier storage and warns capacity gaps may persist for years. They advocate disaggregated architectures that leverage data processing units such as NVIDIA BlueField to address scale and performance requirements. Pompey Nagra of Solidigm explains solid-state drive form factors, low-latency performance and integration into AI servers. Nagra emphasizes executing on SSD roadmaps, adopting PCIe Gen6 and Gen7 interfaces, preparing for broader liquid cooling adoption and prioritizing delivery and supply chain execution to meet high-throughput inference workloads. They also address operational factors to consider for large-scale deployment. This conversation provides technical insight into AI storage strategy, SSD innovation, KV cache adoption and infrastructure choices that affect inference performance and data center efficiency.