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Nillion MPC plus io.net GPUs: a private decentralized compute stack for AI

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Combining Nillion's MPC network for confidential compute with io.net's GPU network gives a private compute stack for personalized AI, with a claimed 90% reduction in deployment costs. Argues sensitive uses like health and financial data need such privacy infra.

Key claims
Integration cuts deployment costs by 90% vs legacy providers
Enables AI handling of sensitive data without exposing it
This is exactly why decentralized compute infra and privacy tech are so crucial, and the integration of @nillion's MPC network for confidential compute with @ionet decentralized GPU network is probably the best example out there. Let me quickly remind you why: In combination, the two create a fully private, decentralized compute stack for (personalized) AI apps at scale, while enabling a 90% reduction in deployment costs vs legacy providers, dramatically lower latency, and seamless access to institutional-grade compute resources. This will unlock entirely new billion-dollar verticals like fully personalized AI applications that can finally handle sensitive, high-value data without compromising privacy. Healthcare records, financial data, personal AI agents that actually know you, or neural interfaces that could fundamentally impact the way you perceive yourself and reality. All possible without exposing your data, or in the latter case, even thoughts. A huge market opportunity, and DeAI infra like @ionet and @nillion is the only acceptable solution here if we're honest (or at least for me lol). Or would you feel comfortable giving up your most sensitive data and private thoughts to big corporations like OpenAI?
QUOTING @MTorygreen
Neural interfaces aren't just tools; they're the next evolution of human cognition. Soon, we won’t just use AI—it will become a part of us. If we allow AI to become centralized, we surrender something more precious than data. We surrender agency over our own thoughts. https://

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