Most AI x crypto projects slap a chatbot on a token and call it innovation. @OpenGradient is building actual infrastructure that crypto uniquely enables.
The real bottleneck for on-chain AI isn't compute — it's VERIFIABILITY. How do you prove a model actually ran the inference it claims, without trusting a centralized server?
Their answer: Hybrid AI Computing combining GPU nodes with zkML proofs and TEEs. The numbers validate real usage — 2,000+ hosted models and 2M+ verifiable inferences. Built on Base with backing from a16z crypto and Coinbase Ventures, this is verifiable AI inference as a primitive, not a narrative play.
Price sits modestly with $2M daily volume and a slight 1.4% dip — early stage, not a retail frenzy. The Model Hub lets developers earn when their models get used, creating a genuine supply-demand loop around $OPG for inference, staking, and node rewards.
Our algo's full open track record (wins and losses) is in our bio.
What breaks first at scale — zkML proof generation costs or GPU node decentralization?
$OPG #OPG
The real bottleneck for on-chain AI isn't compute — it's VERIFIABILITY. How do you prove a model actually ran the inference it claims, without trusting a centralized server?
Their answer: Hybrid AI Computing combining GPU nodes with zkML proofs and TEEs. The numbers validate real usage — 2,000+ hosted models and 2M+ verifiable inferences. Built on Base with backing from a16z crypto and Coinbase Ventures, this is verifiable AI inference as a primitive, not a narrative play.
Price sits modestly with $2M daily volume and a slight 1.4% dip — early stage, not a retail frenzy. The Model Hub lets developers earn when their models get used, creating a genuine supply-demand loop around $OPG for inference, staking, and node rewards.
Our algo's full open track record (wins and losses) is in our bio.
What breaks first at scale — zkML proof generation costs or GPU node decentralization?
$OPG #OPG