For Lenders

Depreciation Per Asset, From Deployment to Retirement

Aravolta follows each GPU from the day it enters service to the day it is retired. The depreciation curve is built from that asset's measured usage rather than an industry table.

Three phases, one record per asset

1

Deployment and baseline

When a GPU enters service we record its baseline: initial thermal profile, power characteristics, and the workload the borrower described in the loan application.

Initial state

Factory spec and expected use

Workload profile

Projected usage pattern

Risk score

Starting risk assessment

2

Ongoing monitoring

Measured performance is checked against the baseline continuously. An alert fires when an asset drifts from the assumptions the loan terms rest on.

Utilization trend

Measured vs. projected usage

Thermal health

Operating temperature trend

Stress events

Spikes, throttling, errors

3

Depreciation and salvage value

Each asset gets its own depreciation curve from measured wear and performance decay. The salvage value projection updates as the asset ages.

Performance decay

Measured degradation

Economic life

Updated projection

Salvage value

Estimate from measured wear

What you get

Per-asset reporting

  • →Full performance history for every GPU
  • →Measured vs. expected utilization
  • →Thermal stress, quantified
  • →Maintenance event log with the effect on life

Portfolio analytics

  • →Portfolio health score
  • →Borrower performance ranking
  • →Salvage value forecast
  • →Risk concentration

Build the depreciation model on measured wear

Industry averages hide the extremes. Track each GPU and build the depreciation curve from what it has actually done.