fal makes open source video model 35x faster, pushing GPUs to 70-80% of ceiling for realtime streaming
isidentical · x · 2026-09-18
In an a16z interview, fal's Gorkem Yurtseven and Batuhan Taskaya explain how they rebuilt MiniMax's open source H3 video model for faster-than-real-time generation: cutting inference steps, rewriting stage-level code, and pushing GPU utilization from the usual 30-40% to 70-80% with no quality loss — a 35x speedup.
Key points:
- An engineer live-streamed continuous H3 Max generations from a laptop on Twitch, using prompt tricks to keep a coherent story going
- fal says it's the only model capable of up to 60 minutes of continuous, action-controlled video; they capped streams at an hour, but it could run indefinitely
- The ML team noted no video model had ever generated five seconds of video in under five seconds before
- With speed and cost largely solved, the competitive frontier has shifted to quality and prompt adherence; Hollywood, not a customer a year ago, is now reaching out
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