AI fleets deployed in 2022 and 2023 are now entering refresh cycles. Many of these GPUs still perform well, but the open market discounts assets it cannot verify, including condition, performance, custody, firmware integrity and data security.
The issue is not the hardware itself. It is the absence of proof.
That is why Sims Lifecycle Services (SLS) created ValidCore. Through ValidCore, a structured certification process, SLS tests, documents and grades retired GPUs before resale.
ValidCore replaces uncertainty with evidence.
The ValidCore platform supports:
- Performance validation to confirm the GPU operates as expected under real workload conditions.
- Stress testing to assess sustained full-load behaviour and thermal performance.
- Benchmarking against manufacturer baselines using workloads that reflect AI and inference use cases.
- Silent data corruption screening to identify units that appear healthy but compute unreliably.
- Machine-vision inspection of connectors, pins and cooling surfaces.
- Firmware verification to confirm the card matches its label and has not been altered.
- Certified data sanitization linked to each serial number.
Learn how certification, testing and documentation separate deployment-ready compute from costly surprises. You can download our white paper on GPU reuse here: https://www.simslifecycle.com/resources/