@rakswp
Running AI on a decentralized network sounds ideal, but shifting away from centralized cloud infrastructure comes with real technical trade offs.
Here are the key hurdles project like Ritual are working to solve:
• High compute demands: Splitting heavy AI workload across independent nodes isn't simple.
• Result verification: Proving compute output are honest and trustworthy without re running everything.
• Inter node coordination: Keeping distributed nodes synced without a central controller.
• Privacy & security: Protecting sensitive data and model weights in open environment.
• Efficiency & cost: Minimizing network overhead so it can compete with Web2 cloud pricing.
The real challenge isn't just spreading the workload it's keeping AI accurate, secure, private and efficient when no single party holds the keys.
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