See whether GPUs are actually used
Monthly waste estimate
Classify recoverable GPU capacity
Before buying more GPUs, prove how existing GPUs are used
GPU purchase requests are increasing, but teams need evidence that current GPUs are actually insufficient.
Shared equipment gets locked by a few teams while idle GPUs remain unmanaged.
Without work-hour, night, and weekend patterns, sharing and recovery policy is hard to justify.
Insight is not monitoring. It is a diagnostic report for purchase decisions.
Idle-cost analysis
Measure active and idle ratios, monthly waste, and recoverable GPU capacity.
Occupied-session detection
Identify sessions and nodes that keep capacity occupied with low usage.
Node and model inventory
See accelerator inventory across NVIDIA, AMD, and NPU environments.
Cloud-conversion proposal
Separate shareable GPUs from dedicated equipment and build the case for conversion.
See where idle cost happens
Compare idle cost and utilization by cluster, vendor, and model.
Diagnostics become an internal GPU cloud proposal
Collect
Collect equipment, utilization, memory, and running-job signals.
Diagnose
Find idle GPUs and long-held sessions.
Classify
Separate shareable GPUs from dedicated equipment.
Convert
Turn the report into a Nadoo Cloud deployment proposal.