Decentralized GPU networks are shaking up the AI training game. Word is, developers could slash their training costs by 30% minimum just by tapping into distributed computing power instead of centralized cloud giants.

Think about it—traditional GPU rentals from major providers eat up budgets fast. But when you're pulling compute from a global network of idle GPUs? The economics flip completely. Lower overhead, no monopoly pricing, and resources that scale on demand.

This isn't just cost-cutting. It's infrastructure democracy. More developers get access to serious horsepower without selling a kidney. Could this be the catalyst that levels the playing field for smaller AI projects?

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