Nvidia imposes strict requirements on cloud providers - Techzine Global

Nvidia's cloud provider gatekeeping is not a compliance exercise—it is a repricing of compute sovereignty. When GPUs become the binding constraint in AI infrastructure, the cloud layer loses structural bargaining power. Technically, the entry criteria force hyperscalers to align their entire heterogeneous stack—schedulers, drivers, interconnects—around CUDA's gravity well. This creates a lock-in deeper than x86 ever achieved, while mid-tier providers face a binary: conform or exit. Compute allocation accelerates toward the top three. The competitive window is narrow but real. AMD's MI300 and Intel's Gaudi 3 sit in the exact gap Nvidia is closing. More critically, TSMC's foundry allocation leverage and Huawei Ascend's substitution narrative in constrained markets gain new policy traction precisely because Nvidia is drawing an ecosystem fence. 12-to-24-month projection: hyperscalers will accelerate custom silicon—AWS Trainium, Google TPU—at a pace that Nvidia's own gatekeeping inadvertently catalyzes. The moat is a countdown timer.