HBM Packaging and Testing: The Hidden Battlefield of the AI Arms Race

Just like when I'm debugging a new AI model, the biggest headache often isn't the algorithm itself, but the bottlenecks in data loading and VRAM management. No matter how advanced the model is, if you can't move the data or store it, everything is for naught. The HBM capacity race is fundamentally a battle over the porters and warehouses of current AI computing infrastructure. SK Hynix pouring 7 trillion KRW into the Cheongju P&T7 project isn't just simple expansion in my view—it's a redefinition of the AI ecosystem value chain, with the battlefield officially extending from wafer manufacturing to back-end packaging and testing.