Most AI x crypto projects slap "AI" on a whitepaper and call it a day. @OpenGradient is building actual infrastructure: verifiable on-chain AI inference using a hybrid stack of GPU nodes, zkML proofs, and TEEs.
Here's the real insight: the bottleneck for on-chain AI isn't compute power, it's TRUST. How does a smart contract know an AI model actually ran the inference it claims? OpenGradient solves this with cryptographic proofs — 2M+ verifiable inferences and 500K+ zkML proofs already generated. The Model Hub lets devs earn when their models get used, creating a genuine supply-demand loop.
Built on Base, EVM-compatible, backed by a16z crypto and Coinbase Ventures. 2000+ models hosted. $OPG (1B fixed supply, TGE April 2026) powers inference payments, staking, and governance.
Currently +2.1% on $1M daily volume — quiet accumulation phase before TGE.
Our own algo's full open track record (wins and losses) is in our bio if you want transparency over hype.
What's your take — will verifiable AI inference become a core crypto primitive, or is the market sleeping on this narrative?
$OPG #OPG
Here's the real insight: the bottleneck for on-chain AI isn't compute power, it's TRUST. How does a smart contract know an AI model actually ran the inference it claims? OpenGradient solves this with cryptographic proofs — 2M+ verifiable inferences and 500K+ zkML proofs already generated. The Model Hub lets devs earn when their models get used, creating a genuine supply-demand loop.
Built on Base, EVM-compatible, backed by a16z crypto and Coinbase Ventures. 2000+ models hosted. $OPG (1B fixed supply, TGE April 2026) powers inference payments, staking, and governance.
Currently +2.1% on $1M daily volume — quiet accumulation phase before TGE.
Our own algo's full open track record (wins and losses) is in our bio if you want transparency over hype.
What's your take — will verifiable AI inference become a core crypto primitive, or is the market sleeping on this narrative?
$OPG #OPG