When giants like a16z crypto and Coinbase Ventures back a project, they aren't just betting on a token—they are betting on infrastructure. @OpenGradient is tackling one of the hardest problems in Web3: verifiable on-chain AI.
Most "AI coins" are just wrappers, but OpenGradient uses a Hybrid AI Computing Architecture (HACA). By combining GPU nodes with TEEs and zkML proofs, they ensure that the AI inference you get is actually what the model produced, not a manipulated result. Built on Base, this creates a transparent ecosystem where developers earn via an On-Chain AI SDK. With 2M+ verifiable inferences already recorded, the focus here is on utility over hype.
Our algo's full transparent track record of wins and losses is available in our bio.
Do you think zkML (Zero-Knowledge Machine Learning) is the missing piece for mass AI adoption in crypto?
$OPG #OPG
Most "AI coins" are just wrappers, but OpenGradient uses a Hybrid AI Computing Architecture (HACA). By combining GPU nodes with TEEs and zkML proofs, they ensure that the AI inference you get is actually what the model produced, not a manipulated result. Built on Base, this creates a transparent ecosystem where developers earn via an On-Chain AI SDK. With 2M+ verifiable inferences already recorded, the focus here is on utility over hype.
Our algo's full transparent track record of wins and losses is available in our bio.
Do you think zkML (Zero-Knowledge Machine Learning) is the missing piece for mass AI adoption in crypto?
$OPG #OPG