The AI x crypto narrative has a dirty secret: most "AI tokens" can't actually verify that AI ran correctly on-chain.
That's the gap @OpenGradient fills. Instead of trusting a black-box API, it uses a hybrid stack — GPU nodes, zkML proofs, and trusted execution environments — so every inference is cryptographically verifiable. 2M+ verifiable inferences and 500K+ zkML proofs already generated. Built on Base, EVM-compatible, backed by a16z crypto and Coinbase Ventures.
OPG is down 3.5% in 24h on $1M volume — thin liquidity, but the tech stack is what matters here. If on-chain AI agents ever become real infrastructure, verifiable inference isn't optional. It's the foundation.
For context, our own algo's full open track record (wins and losses) is in our bio.
Which matters more for AI tokens long-term — hype or verifiable infrastructure?
$OPG #OPG
That's the gap @OpenGradient fills. Instead of trusting a black-box API, it uses a hybrid stack — GPU nodes, zkML proofs, and trusted execution environments — so every inference is cryptographically verifiable. 2M+ verifiable inferences and 500K+ zkML proofs already generated. Built on Base, EVM-compatible, backed by a16z crypto and Coinbase Ventures.
OPG is down 3.5% in 24h on $1M volume — thin liquidity, but the tech stack is what matters here. If on-chain AI agents ever become real infrastructure, verifiable inference isn't optional. It's the foundation.
For context, our own algo's full open track record (wins and losses) is in our bio.
Which matters more for AI tokens long-term — hype or verifiable infrastructure?
$OPG #OPG