What would be a potential consequence of poorly managing GPU resources in a data center?

Poorly managing GPU resources in a data center can lead to higher operational costs for several reasons. When GPU resources are not allocated efficiently, it can result in underutilization or over-provisioning of these expensive computing units. Underutilization means that GPUs may sit idle or be used below their capacity, which wastes the investment made in acquiring these resources. Over-provisioning, on the other hand, means that more GPUs are allocated than are necessary, leading to unnecessary costs associated with hardware, power consumption, and maintenance.

Additionally, inefficient management can lead to performance bottlenecks, where workloads are not processed in a timely manner, requiring further resources to be brought online, thereby escalating operational expenses. These mismanagement scenarios compromise the effective use of the data center’s budget, ultimately translating to higher operational costs.

In contrast, increased performance, reduced complexity in management, and improved customer satisfaction are typically outcomes of effective resource management rather than consequences of poor management.