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It all comes down to utilization as a percentage of time. If the workloads are infrequent enough, GPU cloud providers on going to crush the onsite equipment.
by Enginerrrd 5y ago
It all comes down to utilization as a percentage of time. If the workloads are infrequent enough, GPU cloud providers on going to crush the onsite equipment.
However... I was also sort of surprised, because last time I priced this out, you can have pretty low utilization rates of the equipment and still come out ahead.
- dnautics 5y agothe other thing to consider though is that if you are under pressure by management to not utilize GPU cloud, you might do fewer experiments than if you had at least a GPU workstation under the desk. (that, presumably, you can share with other workmates)