AI Frontier Lectures

Jan 12, 2026 · Industry Insights

Why LLM Inference Hits a Memory Wall – Four Hardware Research Directions

The article analyses the challenges of large‑language‑model inference, highlighting memory bandwidth and interconnect as the primary bottlenecks, and presents four research opportunities—high‑bandwidth flash, processing‑near‑memory, 3D memory‑logic stacking, and low‑latency interconnect—while evaluating current Nvidia solutions and proposing integrated architectural approaches.