Your GPU collateral is worth what someone will pay for it. Not what it cost.
Independent, certified appraisals of GPU and server infrastructure for lenders and finance teams - built on GPU-native residual data, not generic IT equipment curves.
The problem with face value
More than $5 trillion will be invested in AI data center infrastructure through 2030, according to McKinsey - and NVIDIA GPUs sit at the center of it. A growing share of that hardware is financed and lent against, and most of it is still priced on invoice cost minus a depreciation schedule.
Meanwhile, real secondary-market GPU prices swing 30-60% in a year. When a facility is sized on face value, the advance rate is a guess, and the recovery story in a downside case is fiction.
What a report delivers
Certified, USPAP-compliant appraisal reports for GPU infrastructure, built on observed transaction data for the hardware itself. The same framework lenders already trust for aircraft and heavy equipment - applied to the collateral that powers AI.
Fair market value
What the hardware trades for today between willing buyer and seller - the number you can underwrite to.
Orderly liquidation value
The realistic recovery in an orderly sale - the number that sizes your downside.
Going-concern value
Value in continued operation - the number that supports the credit story.
Lenders get a number they can underwrite to. Borrowers get a report that supports tighter pricing and higher advance rates.
Who you work with
Marek Omilian - Managing Director, Value Prism Consulting.
30 years in valuation, including 15 years working with Microsoft and their datacenter partners, and 10 GPU asset projects. Every engagement is led directly - no handoffs to a junior team.
Start a conversation
If your GPU book is priced on face value, it is worth 20 minutes to walk through how a certified report changes your advance rate.