Nvidia, according to reports, has reportedly secured storage chip purchase orders or supply commitments totaling about $279 billion, which the market views as another piece of the puzzle in AI compute capacity expansion. The bottleneck for AI servers is not only GPUs; high-bandwidth storage such as HBM, advanced packaging, network interconnects, and power also determine delivery speed. Large supply arrangements can help Nvidia secure capacity, but they may also increase risks related to inventory, advance payments, and supply-chain concentration. Investors should distinguish between the “total procurement commitment amount” and the figures that will actually be recognized as costs in the coming quarters, and track whether customers’ capital expenditures can absorb these devices. If cloud providers continue expanding, storage suppliers’ bargaining power will strengthen; if demand cools, fixed commitments may squeeze profit margins. Do you think storage will become the next-stage core bottleneck for AI infrastructure? Delivery timing may determine outcomes. This variable could affect how profits are distributed across the entire industry chain. $NVDAB