What Is PUE? AI Data Center Power Efficiency
PUE (Power Usage Effectiveness) shows how efficiently a data center uses power. Here's what PUE means, how it's calculated, why it worsens in AI data centers, and how to improve power efficiency in high-density GPU environments.
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
What Is VRAM? GPU Memory for Running LLMs
What is VRAM and why does it matter for running LLMs? A simple guide to GPU memory vs system RAM, how to estimate VRAM by model size, and what to do when you run out.
