The QTS Experience
The QTS Experience
Dave McCall
Ep. 248: Cosme Garcia - A Wrench Still Beats a Backflipping Robot, and Other Useful Truths
1 hour 31 minutes Posted May 20, 2026 at 2:00 pm.
How Cosme Accidentally Ended Up in Data Centers
Exodus Communications and Learning Power and Cooling the Hard Way
Why Being the Least Smart Person in the Room Is the Goal
The Question Cosme Is Asking: When Do We Use AI on Ourselves?
From a Refrigerator-Sized Gigabyte to a 250-Gigabyte Phone
Even the Lineman on the Pole Now Depends on a Massive Building
The Cold War Between IT Teams and Facilities Teams
Jim Gao, DeepMind, and the Variable Nobody Predicted
Why Humans Are Bad at Patterns and Casinos Are Good at Them
Too Many AI Tools, Not Enough Time: Where Do You Even Start?
Agentic AI: Beyond Prompts, Toward Work That Does Itself
Trust, IBM, and Picking a Partner When the Market Is Crowded
Are Our Jobs at Risk? Which Ones, and Why a Wrench Still Wins
QTS Grew 20-Fold; Staffing Didn't. Here's What Happened.
What Will Force the Next Wave: Power, Competition, and One Senior Leader
Advice for the 26-Year-Old: Be Fearful or Be the Person Who Figured It Out
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Show notes
Cosme Garcia didn't plan to work in data centers — a project manager got sick, somebody asked him to fill in, and three decades later he's still here, still curious, and still trying to be the least smart person in the room. We talk about wrenches, weather, and what to tell your kid.
Chapters:
Reference Links: Google / DeepMind data center efficiency work — the project Jim Gao led that applied machine learning to data center cooling optimization. Public reference: https://deepmind.google/discover/blog/deepmind-ai-reduces-google-data-centre-cooling-bill-by-40/
Cosme Garcia on LinkedIn: https://www.linkedin.com/in/cosmegarcia/
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