Precision underwriting for GPU assets
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
High thermal stress, constant memory cycling, accelerated wear
Steady inference at 60-70% utilization
5+ years of reliable service
Moderate temps, predictable workloads, sustainable operation
Without asset-level monitoring, you're underwriting both the same. That's mispriced risk.
Data-driven underwriting
Real-time telemetry lets you see asset health before you lend, avoid bad deals, and price risk accurately.
GPU Equipment Portfolio
Total financed assets under management
Sample Deal Pipeline
Precision financing through telemetry
Aravolta provides the asset-level visibility you need to accurately price GPU financing deals
GPU Asset Financing
Precision financing built on real data, not averages. Understand actual asset performance and risk before deploying capital.
Telemetry-Based Underwriting
Move beyond spreadsheets. Real-time GPU utilization, thermal profiles, and workload patterns inform smarter underwriting decisions.
Risk Management
Automated alerts when assets exceed thermal limits or show patterns that accelerate depreciation. Protect your principal before problems emerge.
Lifecycle Tracking
Track asset-specific depreciation based on actual usage, not industry averages. Know the real value of your collateral at any moment.
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
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
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
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