Decentralized systems operate without trusted intermediaries, but most AI infrastructure assumes exactly that—someone must run the model, see the inputs, and verify results. Traditional cloud environments do not match the trust model of blockchains, DAOs, or distributed communities. Multi-party or community-owned models must avoid revealing data or weight information to participants or operators. Verifiability is essential, and centralized execution is often unacceptable.
Super provides a way for decentralized systems to run AI workloads without trusting a central operator. Participants can contribute data or models to shared computations without exposing them. Workloads produce verifiable records of execution, allowing DAOs and protocols to confirm outputs independently. AI models can be deployed across node operators or user environments without revealing internal structure.
Web3 ecosystems can integrate AI without introducing a trusted intermediary, preserving decentralization while enabling richer functionality.
