FIELD NOTE / LINKEDIN
Demand a definition of utilization.
The complete written thought and the evidence behind it. The video edition will follow its public release.
The written argument is here.
This approved LinkedIn edition is on the journal now. Its video player and original platform link will appear after each public release is verified.
Demand a definition of utilization.
Video caption
Demand a definition of utilization.
One tenant's training and another's inference do not share an SLA.
Allocation, hardware trace, useful progress and invoice.
My rule: A hardware percentage earns no purchase decision alone.
#EricFieldNotes
Full written post / accessibility read
When a neocloud promises high utilization, ask for numerator, denominator, interval, population and workload. Reserved GPU-hours, SM activity and accepted application work are different quantities. A buyer cannot compare providers until those definitions match.
A provider can keep devices active with batch jobs while interactive requests miss their latency target. A blended fleet percentage cannot show that tradeoff. Even within one job, a communication stall can leave a device active without moving the application at an acceptable rate.
For each representative workload, show queue start, topology, DCGM counters, application throughput and tail time, failures and final bill. For training, report completed accepted run cost. For inference, report latency-qualified responses and accepted quality. Use counters to explain, not replace, that result.
State the workload and acceptance envelope, then compare completion time, reliability and cost per accepted result. Do this because a transparent utilization metric is useful operational evidence but still cannot stand in for the product you buy.
#EricFieldNotes
Four-beat scene transcript
1. Demand a definition of utilization.
When a neocloud promises high utilization, ask for numerator, denominator, interval, population and workload. Reserved GPU-hours, SM activity and accepted application work are different quantities. A buyer cannot compare providers until those definitions match.
Visual: The word is not a contract.
2. Averages hide service classes.
A provider can keep devices active with batch jobs while interactive requests miss their latency target. A blended fleet percentage cannot show that tradeoff. Even within one job, a communication stall can leave a device active without moving the application at an acceptable rate.
Visual: One tenant's training and another's inference do not share an SLA.
3. Ask for a paired report.
For each representative workload, show queue start, topology, DCGM counters, application throughput and tail time, failures and final bill. For training, report completed accepted run cost. For inference, report latency-qualified responses and accepted quality. Use counters to explain, not replace, that result.
Visual: Allocation, hardware trace, useful progress and invoice.
4. Contract for delivered capacity.
State the workload and acceptance envelope, then compare completion time, reliability and cost per accepted result. Do this because a transparent utilization metric is useful operational evidence but still cannot stand in for the product you buy.
Visual: A hardware percentage earns no purchase decision alone.
Research and claim limits
The examples identified as illustrative or simulated are design probes, not reported incidents. Vendor specifications do not establish workload performance.