# WEKA Podcasts

Podcast conversations about modern data infrastructure and AI.

## [Why Investors Today Count on Kilowatts](/podcast/why-investors-today-count-on-kilowatts)

**Published:** August 4, 2026

Growth investors used to reward GPU count. Now they're asking a different question: are you getting more intelligence out of the same kilowatt hour? Generation Investment's Dave Easton joins Deep Geeks to explain why "return on intelligence" — not model size — decides which AI companies get funded, and why energy, not capital, may be the real constraint on how big this all gets.

## [The Revenge of the Middle: Managers, Memory, and the Real AI Bottleneck](/podcast/the-revenge-of-middle-management)

**Published:** July 16, 2026

Middle managers got cut first. Now their skills of delegating, measuring, and synthesizing are exactly what makes AI agents work. WEKA's Val Bercovici joins Deep Geeks to explain why memory, not GPUs, is AI's real bottleneck, and why the most "obsolete" layer in both your org chart and your data center is suddenly the most valuable.

## [Cancer Doesn't Care About Your Model ](/podcast/cancer-doesnt-care-about-your-model-deepgeeks-ep-2)

**Published:** June 24, 2026

A patient's treatment window is days. Your model needs weeks. The algorithm isn't the bottleneck — your infrastructure is. Jess Audette runs AI at Memorial Sloan Kettering, where time-to-discovery has dropped 10-30x. So what's actually standing between a breakthrough and saving a life?

## [Can AI Survive Its Own Energy Appetite?](/podcast/can-ai-survive-its-own-energy-appetite-deepgeeks-ep-1)

**Published:** June 9, 2026

AI infrastructure is scaling at an unprecedented pace — but at what energy cost? In the debut episode of Deep Geeks, host Dr. Serena Huang sits down with Daria Mukhortova, Head of Sustainability at Nebius, and Val Bercovici, Chief AI Officer at WEKA, to unpack the real relationship between AI performance and energy efficiency. From data center heat recovery to token warehousing, this conversation goes deep on the engineering decisions that separate sustainable AI from wasteful AI.