1003: Building an AI Data Center End to End, with Lightning AI’s Frank Basso

Frank Basso, VP of Infrastructure at Lightning AI, joins Jon Krohn 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.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠superdatascience.com/1003⁠ (superdatascience.com/1003)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

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In this episode you will learn:

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• (02:47) What actually makes an AI data center different from a traditional one

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• (06:04) How Lightning AI provisions its 35,000+ GPUs through hyperscale co-location

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• (24:01) Why liquid cooling doesn’t waste water, debunking the biggest data-center myth

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• (29:46) East-west vs. north-south networks, explained

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• (43:47) “Screaming banshees”: why AI data halls run at 105–110 decibels

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• (51:52) Why data centers don’t actually drive up your power bill