95% of GPU capacity goes unused in Kubernetes clusters
Briefly

95% of GPU capacity goes unused in Kubernetes clusters
"GPU usage averages just 5 percent, CPU usage stands at 8 percent, and memory utilization comes in at 20 percent. The gap between paid and used capacity is growing, while cloud prices are rising."
"Kubernetes is becoming the standard platform for AI and ML workloads, but the data tells the same story as with CPU and memory: an average utilization rate of 5 percent."
"Rightsizing-where IT resources are aligned with the needs of the workloads-is not true rightsizing. It occurs only once during deployment. Workloads change, traffic patterns shift."
"Cast AI advocates for autonomous, continuous optimization as a sustainable response to infrastructure economics moving in the wrong direction."
Research from Cast AI shows that GPU usage averages 5 percent, CPU usage 8 percent, and memory utilization 20 percent. The gap between paid and used capacity is increasing, even as cloud prices rise. Kubernetes, intended for efficiency, shows similar low utilization rates for AI and ML workloads. Rightsizing resources only once during deployment is insufficient due to changing workloads. Continuous optimization is necessary to address the growing inefficiencies in infrastructure economics.
Read at Techzine Global
Unable to calculate read time
[
|
]