# The Rise of Generative Media: fal's Bet on Video, Infrastructure, and Speed

Page: https://stenobird.com/podcast/training-data/the-rise-of-generative-media-fal-s-bet-on-video-infrastructure-and-speed
Text version: https://stenobird.com/podcast/training-data/the-rise-of-generative-media-fal-s-bet-on-video-infrastructure-and-speed.md
Podcast: [Training Data](https://stenobird.com/podcast/training-data)
Published: 2025-12-10T10:00:00+00:00
Episode link: https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI6713513341.mp3
Audio file: https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI6713513341.mp3
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JSON: https://stenobird.com/v1/public/podcasts/training-data/episodes/the-rise-of-generative-media-fal-s-bet-on-video-infrastructure-and-speed
Duration seconds: 3738

## Resource

fal is building the infrastructure layer for the generative media boom. In this episode, founders Gorkem Yurtseven, Burkay Gur, and Head of Engineering Batuhan Taskaya explain why video models present a completely different optimization problem than LLMs, one that is compute-bound, architecturally volatile, and changing every 30 days. They discuss how fal's tracing compiler, custom kernels, and globally distributed GPU fleet enable them to run more than 600 image and video models simultaneously, often faster than the labs that trained them. The team also shares what they’re seeing from the demand side: AI-native studios, personalized education, programmatic advertising, and early engagement from Hollywood. They argue that generative video is following a trajectory similar to early CGI—initial skepticism giving way to a new medium with its own workflows, aesthetics, and economic models.Hosted by Sonya Huang, Sequoia Capital

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## Transcript

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