In the rapidly evolving world of high-performance computing, GPU design is undergoing a fundamental transformation driven by scalability, efficiency, and AI workloads. Industry discussions around Raja Koduri on re-architecting GPUs highlight how modern architectures are shifting away from traditional monolithic designs toward more modular and specialized compute structures. This evolution is not only about raw processing power but also about balancing energy efficiency, memory bandwidth, and workload distribution across heterogeneous systems, enabling next-generation applications in artificial intelligence, gaming, and scientific simulation. Architectural Shift in GPU Design Modern GPU development is increasingly focused on disaggregated architecture models that allow compute, memory, and interconnects to scale independently. This approach improves flexibility and…