
Organizations currently pouring billions into NVIDIA #00 and B200 clusters often overlook the fact that the most sophisticated processors are only as fast as the data pipelines feeding them. This architectural oversight leads to a phenomenon known as the “idle accelerator trap,” where GPUs costing tens of thousands of dollars per unit sit dormant for significant portions of the training










