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We built a short action film, a 1930s pickup racing a steam freight train through a desert town, and jumping over it, where everything is exactly what was designed upstream: the action, the animation, the camera placement, the timing, the...
fal Editorial Deep dives with the companies taking AI seriously in the industries that matter. One company, one hard problem, and what it actually takes to solve it at scale.
At @fal we serve Ideogram V4 at high speed. At 1K resolution, a generation that used to take 2.75 s now renders in 0.44 s, a 6x speedup with no visible quality loss. We got there by pushing the cost of a generated image down on every axis
At @fal, we've achieved 16 times higher throughput on Qwen3.6 for a use-case that required high interactivity per user using DSpark on SGLang. But why did we need it? And how did we achieve it?
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