Verifying GPU-Backed Credit Positions with Real-Time Infrastructure Data
USD.AI uses Aravolta for continuous, infrastructure-level verification of GPU-backed credit positions.
Aravolta enables us to offer smarter, more agile financing solutions. They bridged the gap between our risk requirements and the technical reality of the data center, allowing for collateral auditing without creating operational friction for our infrastructure partners.
GPU-backed credit introduces a new class of collateral: high-value, physical compute infrastructure.
Unlike traditional assets, GPUs cannot be verified through paperwork alone. Their value depends on whether they are:
- Installed as described
- Operational over time
- Continuously accounted for
USD.AI's approach to GPU-backed credit is built around a simple principle: Verify, don't trust.
That principle requires real-time, infrastructure-level data, not periodic reports or self-attestation.
Traditional Verification vs. Aravolta
A fundamental shift in how GPU collateral is verified.
Traditional Approach
- Quarterly PDF audit reports
- Trust-based self-attestation
- Manual spreadsheet tracking
- Point-in-time snapshots
- Weeks to verify asset changes
- High operational risk exposure
With Aravolta
- Real-time API data feeds
- Automated infrastructure verification
- Continuous telemetry monitoring
- Live operational status
- Instant asset change detection
- Verifiable audit trail
This limits how confidently GPU-backed credit positions can scale. Until now.
Verification Scope
All monitoring is performed at the infrastructure layer only.
Verified
- Physical presence of servers and GPUs
- Asset identity, serial numbers, and configuration
- Operational health and status
- Continuous availability over time
Not Collected
- Customer workloads
- Model or application data
- Tenant-specific usage information
- Application performance metrics
Collateral visibility remains concrete, continuous, and auditable without compromising customer confidentiality.
Server-Level GPU Verification in Action
GPU Identity
H100 80GB HBM3 verified by serial number
Health Status
Real-time OK/fault status per GPU
Thermal Data
Live temperature monitoring
Server Context
Dell PowerEdge XE9680 identification
Why Server-Level Data Matters for Credit
Continuous Confirmation
Collateral exists and remains active in real-time
Auditable Records
Infrastructure records tied directly to credit positions
Reduced Trust Reliance
Replace trust-based reporting with verified data
For lenders, this turns GPUs from opaque hardware into verifiable financial assets.
The Transparency Layer
Aravolta sits between physical infrastructure and credit protocols, providing continuous verification without touching workloads.
GPU Hardware
H100s, serial numbers, health data
Aravolta
Infrastructure-level verification
USD.AI Protocol
Credit positions, lender dashboards
Real-Time Visibility
Collateral visibility is real-time instead of episodic
Live Infrastructure Data
Replaces trust assumptions with live infrastructure data
Scalable Verification
Supports scalable verification as credit positions grow
The result is a lending structure where verification is ongoing, not event-driven.
Book a time to speak with our infrastructure team.