High-Bandwidth Flash Could Solve AI's Massive Storage Problem

High-Bandwidth Flash offers efficient storage for model weights

I explore how High-Bandwidth Flash (HBF) transforms standard flash memory into a powerful solution for AI inference. By stacking NAND chips, companies like Sandisk and SK Hynix aim to deliver massive storage capacity for frozen model weights. This approach frees up expensive HBM for high-speed tasks, offering a cost-effective way to scale Large Language Models without sacrificing performance.

"Flash is atrociously slow for writes, but for reads, it can be coaxed to go pretty fast."