When a16z crypto AND Coinbase Ventures back the same AI infra play, it's not random hype — it's a signal about where serious capital sees on-chain AI going.
Most "crypto AI" projects just slap an LLM onto a token. @OpenGradient is building something different: verifiable inference using zkML proofs and TEEs inside its hybrid GPU node network. The real unlock? Developers actually earn when their models get used through the Model Hub — aligning incentives rather than hoping tokenomics magically work.
The traction backs the thesis: 2,000+ models hosted and 2M+ verifiable inferences already. That's product-market fit, not a white paper.
Down 1.3% on $1M volume today — quiet accumulation phase or just low attention? That's the question worth tracking.
Our own algo's full open track record — wins and losses included — is in our bio if you want transparency over promises.
What's your read: does dual heavy-hitter backing de-risk this, or is AI infra still too early for adoption?
$OPG #OPG
Most "crypto AI" projects just slap an LLM onto a token. @OpenGradient is building something different: verifiable inference using zkML proofs and TEEs inside its hybrid GPU node network. The real unlock? Developers actually earn when their models get used through the Model Hub — aligning incentives rather than hoping tokenomics magically work.
The traction backs the thesis: 2,000+ models hosted and 2M+ verifiable inferences already. That's product-market fit, not a white paper.
Down 1.3% on $1M volume today — quiet accumulation phase or just low attention? That's the question worth tracking.
Our own algo's full open track record — wins and losses included — is in our bio if you want transparency over promises.
What's your read: does dual heavy-hitter backing de-risk this, or is AI infra still too early for adoption?
$OPG #OPG