ARAVOLTAManage supplier listing
Per-asset GPU fleet telemetry read directly from accelerator hardware while it runs: utilization, die/power temperature, power draw, and inferred workload pattern (training vs. inference) at serial-number granularity, carried continuously from deployment to retirement and joined to each device's maintenance record and a fitted per-asset depreciation/life-expectancy curve. This is hardware-condition ground truth on AI-accelerator collateral — a class of data that exists nowhere else, because hyperscalers publish utilization only as aggregate commentary and OEMs see only RMA rates.
Your sourcing agent asks Aravolta and files the sample in your catalog — private to you.
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