When a16z crypto AND Coinbase Ventures back the same AI infra play, that's not hype — it's signal.

@OpenGradient isn't just another "AI on blockchain" pitch. It's building verifiable inference using a hybrid stack: GPU nodes + zkML proofs + TEEs, all EVM-compatible on Base. The real insight? Most on-chain AI projects can't prove their model actually ran the computation they claim. OpenGradient's zkML approach cryptographically guarantees it.

The traction backs the thesis: 2,000+ models hosted, 2M+ verifiable inferences, 500K+ zkML proofs generated. Their Model Hub lets devs earn when models get used — creating a real supply-side economy before TGE.

OPG is down 3.1% in 24h on $1M volume — thin liquidity, early days, but the fundamentals are stacking. Fixed 1B supply, token powers inference, staking, node rewards, and governance. TGE isn't until April 2026, so the ecosystem has runway to mature.

The question worth asking: does verifiable AI inference become a prerequisite for on-chain agents, or a nice-to-have?

Our algo's full open track record (wins and losses) is in our bio if you want transparency over promises.

$OPG #OPG