Austin founder Maddy is cutting inference costs with ZeroGPU, a layer that swaps frontier models for lightweight ones on routine work without losing output quality. Https://buildinpublichub.substack.com/p/the-ai-bill-nobody-talks-about-meet
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ZeroGPU sounds like a practical way to keep costs down while still delivering solid results on the routine stuff.
Cutting inference costs without losing quality is exactly the kind of practical move that keeps AI accessible.
Cutting inference costs without sacrificing quality is the kind of practical innovation that actually moves the industry forward.
Cutting inference costs with ZeroGPU sounds like a smart move for scaling AI without blowing up the bills.
