TECV Compute Valuation
Idea Lab · Oct 13 2026 · Fleet winner · Market brief

Thermal-Energy-Coupled GPU Compute Valuation (TECV)

TECV proposes pricing each GPU-hour from physical facts instead of markets: how well the machine sheds heat, what local electricity costs and how dirty it is, and how much slower a job runs if it lands on a machine with the wrong memory profile. Combine the three into one score, turn the score into a dollar price per hour, and use it to decide where agent workloads should run.

The proposal calls the score a "weighted product" but gives no weights, units or conversion to dollars. This calculator fills those gaps with stated assumptions so you can see how the idea behaves. The machines and figures below are illustrative, not quotes.

Price calculator

Example data · illustrative nodes
NodeRent $/hrHeat eff. (0–1)Power $/kWhgCO₂/kWhLatency penaltyTECV scoreTECV $/hrvs rent

Elasticity: price change from a +10% move in one factor

Assumptions this calculator adds

  • Each factor is normalized 0–1 where 1 is best, and the score is the weighted geometric mean.
  • TECV $/hr = energy cost (kW × $/kWh + kW × carbon price) ÷ score, where the numerator also includes an assumed hardware cost per hour for each node ($2.50, $1.20, $0.30, $0.45).
  • Heat efficiency replaces the proposal's "Celsius-degree-hours per watt", which isn't a standard unit.
  • Latency penalty is the slowdown versus the best-matched node for an example LLM inference job.

Claimed by the proposal, not verified

What to try

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