This deep-dive analysis details the disruptive potential of GSI Technology (GSIT) in the artificial intelligence (AI) sector, driven by its patented Associative Processing Unit (APU) utilizing Compute-In-Memory (CIM) architecture. The core finding, validated by independent research from Cornell University, confirms the APU delivers GPU-class performance in demanding AI tasks while achieving an unprecedented 98% reduction in energy consumption compared to incumbent hardware like the NVIDIA A6000. This performance-per-watt advantage underpins GSIT's strategic focus on the Edge AI market, prioritizing high-growth, power-constrained verticals such as military drones, defense systems, and robotics. The report further examines the company's financial stability, sustained by its legacy SRAM business and a recent $50 million capital raise, but concludes by highlighting the critical execution risk associated with converting this technological validation into substantial commercial sales, noting the stock's current "Ultra Expensive" valuation.