Silicon Data Launches Monthly GPU Residual Value Benchmarks for AI Infrastructure Finance
New fair-value estimates give lenders, investors, and operators a market-based answer to what data-center GPUs are
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New fair-value estimates give lenders, investors, and operators a market-based answer to what data-center GPUs are actually worth
NEW YORK, NY, UNITED STATES, August 24, 2026 /EINPresswire.com/ — Silicon Data, the independent benchmark and verification layer for the compute economy, today launched its GPU Residual Value model, providing a market-referenced fair value for data-center GPUs by generation.
The launch answers a question that has become urgent as the AI buildout accelerates: AI compute spending is on pace to make it the largest commodity by dollar value of any traded resource, and GPUs are increasingly being used to back loans, leases, and asset-backed financing. Yet the industry still has no shared answer to what that hardware will actually be worth in two or three years. Most of that math still runs on fixed accounting depreciation schedules built for equipment that doesn’t behave the way GPUs do – rented, resold, and retired on a market timeline set by demand and technological turnover, not a straight-line formula.
Silicon Data built this residual value model to close that gap. Each estimate represents the depreciated worth of a GPU implied by the rental income it is expected to generate over its remaining useful life – a figure that moves with the rental market instead of a schedule fixed at the time of purchase.
“Right now, billions of dollars are being lent and invested against GPUs without a real, current answer to what that hardware will be worth as it ages,” said Carmen Li, CEO of Silicon Data. “We built Residual Value to answer that with market data instead of a guess. It’s a benchmark that moves with what the market is actually paying for capacity, not a depreciation schedule nobody designed for this asset class.”
Under the hood, the estimates are built with a discounted cash flow model: Silicon Data projects a GPU’s net rental income and discounts it to a present fair value. The near-term projection is anchored to the Silicon Data Forward Curve, fit on observed contract rental prices across the non-hyperscaler market, with a decay extrapolation applied over the longer horizon. The result is a single fair-value figure per GPU generation.
Silicon Data currently publishes Residual Value estimates for the H100, A100, and B200, updated monthly. The estimates are intended as a reference for asset-backed financing, fleet planning, and mark-to-market analysis, and complement Silicon Data’s existing GPU rental price indices, forward and term rate curves, and Token Index.
For more, visit silicondata.com.
About Silicon Data
Silicon Data is the independent benchmark and market intelligence platform for the AI compute economy. The company provides pricing indices, performance benchmarks, forward curves and institutional market data used by compute buyers and sellers, financial institutions, exchanges and infrastructure operators. Its mission is to bring the transparency, standardization and financial infrastructure of mature commodity markets to AI compute.
Kat Aronofsky
Silicon Data
+1 339-222-9219
silicon-data@aircoverpr.com
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