Enterprise AI teams are consistently overpaying for GPU compute. The core issue is structural: hyperscalers price GPU access to include margin at every layer — the hardware, orchestration, support, and brand premium.
Why the 30% gap exists
Wholesale providers eliminate two of those four cost layers entirely. When you source directly through GPUaaS.com, you pay for the hardware and connectivity — nothing else. The 20+ vetted providers in the network compete on price for your workload, which keeps rates honest.
The same H200 SXM cluster that costs $28/hr on a major cloud runs at $19–$21/hr through a wholesale provider. At 500-GPU scale, that is over $1M saved per quarter.
How procurement works
Most enterprise GPU procurement is reactive. GPUaaS.com flips that dynamic by sourcing competitive quotes from multiple wholesale providers within 24 hours of receiving your requirements. You compare options side by side and choose the provider that fits your budget, timeline, and SLA requirements.
There is no lock-in unless you want it. Short-term and pay-as-you-go arrangements are available alongside 3, 6, and 12-month commitments at progressively lower rates.