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Four GPU Cost Assumptions to Pressure-Test

April 14, 2026
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By Bobby Clay, Founder, AIForge Works
GPU AuditAssumptionsProcurement

Correction — July 22, 2026: This article originally described four modeled categories as detected "leakage" and attached unsupported percentage and dollar examples. That framing overstated what public-market evidence can establish. The corrected article below separates observable public pricing from customer-specific assumptions and outcomes.

Start with what the evidence can establish

Public catalogs can show dated pricing, published packaging, regions, and commitment structures. They cannot establish whether capacity is orderable for a buyer, reconstruct a customer's full bill, measure utilization, or prove savings.

GPU Audit uses that boundary deliberately: Pressure-test the paid rate and operating assumptions against dated public-market evidence. The inputs, comparison basis, and limitations should remain visible throughout the review.

1. Paid rate and comparison basis

A current paid rate can be compared with dated provider-published evidence only after GPU family, packaging, region, purchase mode, and included services are put on a comparable basis. A lower public catalog row is a question to investigate, not proof that the offer is available or that the buyer can obtain it.

2. Hardware and interconnect assumptions

GPU names alone do not make two offers equivalent. Memory, interconnect, form factor, host configuration, and workload sensitivity can materially change the decision. Public specifications can expose those differences; they do not quantify customer performance without workload evidence.

3. Transfer and network-cost assumptions

Published transfer and cross-zone rates can be included as explicit scenario inputs when they are relevant. Egress exposure is not automatically leakage: actual impact depends on architecture, data movement, provider terms, and measured traffic.

4. Utilization assumptions

Public-market evidence cannot see idle capacity inside a customer environment because AIForge Works does not connect to customer cloud accounts. A utilization or headroom value must therefore be supplied and reviewed as an assumption, not presented as detected waste.

Keep the categories separate

These questions should not be automatically compounded into a savings headline. Each depends on different evidence, and each can be wrong for a different reason. The useful output is a clearer decision record: what was observed, what was modeled, what remains unknown, and what the provider or buyer must verify next.

Catalog visibility is not orderability, availability, a live quote, or a guaranteed result. Verify current pricing, capacity, terms, fees, and discounts with the provider before acting.