Training Data

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

Share this episode
Anyone with this link can open it.
Share Link
Start at 0:00

This episode isn’t summarized yet

Create a free account and summarize it. In a few minutes you’ll have the key takeaways and a section-by-section summary.

Show notes

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

Couldn't load the audio. A blocker may be stopping the show's tracking links. Open the file