AI and Semiconductor Memory: More, More, More
Steven Woo, a Rambus fellow and distinguished inventor, explains how AI's exponential growth in model size and training data is creating unprecedented demands on memory capacity, bandwidth, and power efficiency. He details the industry's shift toward High Bandwidth Memory (HBM) and GDDR to handle these loads, while noting that emerging memories like ReRAM and MRAM face reliability hurdles. Woo also discusses how architectural innovations like Compute Express Link (CXL) and chip stacking are critical for reducing the power and latency associated with moving data between processors and memory.