Centralized AI clouds are quiet black boxes: you send a prompt, trust their output blindly, and rent zero compute ownership. Verifiable AI flips the model entirely.
@OpenGradient uses zkML proofs + TEEs so every inference is cryptographically verifiable. With 2M+ verified inferences and 500K+ zkML proofs generated, that's actual cryptographic accountability replacing "just trust us."
Devs hosting models on their Model Hub earn when used — a genuine incentive alignment centralized platforms can't match. Slightly green today (+0.2%, vol $1M), but the deep narrative here is verifiability replacing trust.
Our algo's full open track record (wins and losses) is in our bio.
Which matters more long-term: cheaper compute or provable output?
$OPG #OPG
@OpenGradient uses zkML proofs + TEEs so every inference is cryptographically verifiable. With 2M+ verified inferences and 500K+ zkML proofs generated, that's actual cryptographic accountability replacing "just trust us."
Devs hosting models on their Model Hub earn when used — a genuine incentive alignment centralized platforms can't match. Slightly green today (+0.2%, vol $1M), but the deep narrative here is verifiability replacing trust.
Our algo's full open track record (wins and losses) is in our bio.
Which matters more long-term: cheaper compute or provable output?
$OPG #OPG