#AIdatacenter #LiquidCooling #LightningAI Frank Basso, VP of Infrastructure at Lightning AI, joins @JonKrohnLearns for a rare ground-level tour of the one layer of the AI stack the show had never covered in over a thousand episodes: the physical data center. Frank explains how Lightning AI provisions its 35,000-plus GPUs through hyperscale co-location, why everything new is liquid-to-chip cooled, how GPUs talk to each other over ultra-fast east-west networks, and what it’s actually like to stand inside a 110-decibel AI data hall. He also debunks the most persistent myths about data-center water and electricity use, and makes the case for fuel cells, nuclear power, and 800-volt DC distribution as the path forward. This episode is brought to you by: • Cisco: https://outshift.cisco.com • Acceldata: https://www.acceldata.io • Gurobi: https://www.superdatascience.com/gurobi Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: • (00:00:00) Introduction • (00:02:40) What actually makes an AI data center different from a traditional one • (00:05:39) How Lightning AI provisions its 35,000+ GPUs through hyperscale co-location • (00:24:07) Why liquid cooling doesn’t waste water, debunking the biggest data-center myth • (00:31:26) East-west vs. north-south networks, explained • (00:45:18) “Screaming banshees”: why AI data halls run at 105–110 decibels • (00:53:47) Why data centers don’t actually drive up your power bill Additional materials: https://www.superdatascience.com/1003