For Lenders

GPU Asset Financing Built on Real Data, Not Averages

The difference between a 6-year and a 3-year GPU lifespan isn't luck—it's workload. Finance GPU infrastructure with precision using real-time telemetry and asset-level performance data.

The $50M Question

Traditional GPU financing assumes uniform depreciation curves. But identical H100s can age dramatically differently based on actual usage:

Training workloads at 95%+ utilization

3 years or less of economic life

Steady inference at 60-70% utilization

5+ years of reliable service

Without asset-level monitoring, you're underwriting both the same. That's mispriced risk.

Same hardware, different depreciation paths

Precision Financing Through Telemetry

Aravolta provides the asset-level visibility you need to accurately price GPU financing deals

Real-Time Asset Monitoring

Track utilization, thermal profiles, power consumption, and workload patterns for every GPU in your portfolio. Know exactly how your collateral is being used—in real time.

Actual Depreciation Curves

Move beyond industry averages. Generate asset-specific depreciation models based on actual usage data, thermal stress, and maintenance patterns.

Early Warning System

Automated alerts when assets exceed thermal limits, show unusual power spikes, or exhibit patterns that accelerate depreciation. Protect your principal before problems emerge.

Performance-Based Structures

Enable innovative deal structures: usage-based payments, performance triggers, maintenance escrows tied to actual asset conditions—all backed by verified data.

Financing Structures We Support

Sale-Leasebacks with Performance Triggers

Structure deals where lease terms adjust based on actual GPU utilization and thermal performance. If telemetry shows assets are being overtaxed, maintenance reserves or early buyback clauses automatically trigger.

Example: 5-year sale-leaseback where payment adjusts quarterly based on average GPU utilization and thermal violations tracked by Aravolta

Usage-Based Credit Lines

Revolving facilities where borrowing capacity and rates are tied to actual GPU-hour utilization. Payments flex with verified compute output, not estimates.

Example: Credit line where interest rate decreases for operators maintaining GPUs at optimal 60-75% utilization vs. those constantly maxing out hardware

Portfolio Risk Monitoring

For lenders with multiple GPU-backed loans, aggregate portfolio-level insights on asset performance, utilization variance, and depreciation trends across all deals.

Example: Dashboard showing which borrowers are running GPUs hot vs. conservative, with projected salvage value adjustments

The ROI of Better Data

Consider a $50M GPU financing portfolio. If telemetry reveals assets will last 3.7 years instead of assumed 5.5 years, that's a ~30% reduction in salvage value—worth $15M+ in adjusted risk pricing.

40-60%

Lower risk exposure vs. blind underwriting

2-4 weeks

To implement monitoring for new deals

Real-time

Asset performance visibility

Ready to Finance GPUs with Confidence?

Join forward-thinking lenders using Aravolta to underwrite GPU infrastructure with precision. Schedule a consultation to discuss your portfolio and how telemetry can reduce your risk.

  • Portfolio-wide asset monitoring
  • Custom depreciation modeling
  • Automated compliance reporting
GPU data center with telemetry monitoring