Imagine an AI chip as a very fast chef. The chef can chop, fry, and plate dishes faster than any human — but only if the ingredients arrive at the cutting board fast enough. If the pantry is across the kitchen and the runner is slow, the chef stands around doing nothing. The chef is the GPU. The pantry is the memory. The runner is the bandwidth between them.
For the past decade, the chefs (chips) got dramatically faster, but the runners (memory bandwidth) didn't keep up. That gap is called the "memory wall," and it's the single biggest reason modern AI is bottlenecked. The fix: stack a tower of memory chips literally on top of each other right next to the GPU, with thousands of tiny wires running between them. That's High Bandwidth Memory — HBM. Every NVIDIA Blackwell, every AMD MI300, every Google TPU, every Amazon Trainium needs 6–8 of these towers per chip.
Only three companies on Earth make HBM: SK Hynix, Samsung, and Micron . NVIDIA has bought essentially every HBM4 wafer for 2026 and 2027. Micron's CEO told CNBC in March 2026 they can only supply about half to two-thirds of what their biggest customers actually want. That is what a chokepoint looks like in real time. And the equipment that stacks HBM (Hanmi's TC bonders) and tests every finished AI chip (Advantest) are even cleaner monopolies than the memory makers themselves.