Posts for: #datacenters

Everyone talks about AI models like GPT-4, Claude, and Gemini, but the real drama is happening in the data center, where companies are fighting over a finite pool of GPUs. Here is how that scramble, plus new bottlenecks in memory and power, is quietly shaping what AI you can actually build and deploy.

AI is hungry for power, but how hungry is it really—and what can you do about it? This guide breaks down the energy footprint of training and running models in plain language, shows where the watts go (and why), and gives you concrete steps to shrink the impact without sacrificing performance. You’ll leave with a simple mental model, credible metrics to track, and practical levers you can use today.