The GPU Utilization Trap: 95% Isn't Real
GPU utilization of 95% can still mean your GPUs are barely working. Here's why nvidia-smi's utilization metric doesn't reflect actual compute, what MFU really measures, and how to monitor GPU efficiency correctly.
5 Real Reasons Your GPU Utilization Is Stuck at 5%
Average GPU utilization of just 5% isn't a GPU shortage problem. Here are the five real causes — idle allocation, monopolized cards, no scheduling — plus how to diagnose and fix each
Kubernetes GPU Scheduling Explained
Why do GPU jobs sit pending when GPUs are still free? A clear look at how Kubernetes GPU scheduling works, the limits of the default scheduler, the fragmentation problem, and what efficient GPU placement requires.
GPU Power Optimization: How to Control the 40% of AI Data Center Operating Costs That Go to Power
No matter how many GPUs you buy, there's no profitability without power control. — we break down AIPub's GPU power optimization strategy.
