Sample verification report
8× GPU AI Training Server (Sample Asset)
This is a sample report with fictional data, shown to illustrate the structure and depth of a VerifyCompute verification report. Real reports are based on evidence collected for a specific asset and transaction.
Asset Identity
Chassis serial and declared ownership context were supplied and matched the seller's invoice. GPU serial numbers were provided for 8 of 8 devices and matched diagnostic output.
GPU Inventory
Declared configuration: 8× data-center GPUs (80GB). Diagnostic output confirmed 8 devices of the declared model. Device UUIDs were consistent across two separate diagnostic captures.
Server Configuration
Dual-socket host platform with 2TB system memory and NVLink interconnect, consistent with the declared specification. Storage and network fabric details were declared but not independently evidenced.
Firmware Review
Reported VBIOS versions were uniform across all 8 GPUs and within the vendor's expected range for the production window. No deviations from expected baselines were observed in the supplied output.
Driver Review
Driver and CUDA toolkit versions observed in the diagnostic output were current and mutually compatible. No mixed-driver conditions were observed.
Thermal Evidence
Supplied logs covered a 72-hour load window. Peak temperatures remained within vendor operating limits. One GPU showed a consistently higher idle temperature than its peers — noted as a risk signal below.
Risk Flags
- GPU #6 idle temperature consistently 8–10°C above peer devices; possible airflow or thermal-paste condition warrants physical inspection.
- Storage and network configuration declared by seller but not evidenced in supplied diagnostics.
- No benchmark output was supplied; sustained performance under load was not reviewed.
Limitations
This review was based on documentation and diagnostic output supplied by the seller. No physical inspection was performed. Benchmark evidence, storage diagnostics, and network fabric evidence were not available for review.
Recommended Next Steps
- Request a physical inspection or on-site diagnostic session for GPU #6 before closing.
- Request storage and network diagnostic output to complete the configuration review.
- Run a short sustained-load benchmark and supply the output for review.
Lifecycle Record Status
No lifecycle record exists for this asset. A record can be established at purchase to carry this verification forward through deployment, maintenance, and eventual resale.
Need a report like this for a real asset?
Tell us about the hardware or transaction under review and the VerifyCompute team will confirm scope and next steps.