#opg $OPG @OpenGradient OpenGradient (OPG) — Short Analysis
What it is: A decentralized “AI co-processor” that makes AI inference verifiable by default. Instead of trusting a cloud provider, every request runs in TEEs or with zkML and settles on-chain with cryptographic proof.
Why it matters: Solves the “AI black box” problem. For DeFi risk models, autonomous agents, or on-chain decisions, you get proof of which model ran, exact inputs/outputs, and no tampering.
How it works: Hybrid AI Compute Architecture. GPU/TEE inference nodes execute fast, validators check attestations asynchronously, then commit proofs to Base. Python SDK is OpenAI-style but returns transaction hash + tee signature with every call.
Traction: 4.2M+ blocks, 1.85M+ on-chain txns, 263k+ wallets. Model Hub has 2k+ models, 2M+ verifiable inferences.
OPG token: 1B fixed supply, used for inference payments, staking, governance. 40% to ecosystem.
Bottom line: If you need auditability > raw speed, OpenGradient is one of the few networks doing verifiable AI at scale. Tradeoff is extra latency/cost for TEE/zk proof vs normal APIs.