@OpenGradient $OPG #OPG OpenGradient acts as a highly specialized AI coprocessor for external blockchains, dApps, and autonomous agents. Instead of forcing every network validator to duplicate the massive computational burden of executing AI models, OpenGradient runs a Hybrid AI Compute Architecture (HACA). This system explicitly decouples the execution timeline from the verification timeline:
CoinMarketCap
+ 1
Inference Nodes: Stateless GPU-powered workers that execute the AI tasks (such as LLM queries or financial risk forecasts) with near-instantaneous Web2-like latency.
Binance
Verification & Settlement: Computational cryptographic proofs are generated after execution and verified at the consensus layer by full nodes before being recorded permanently on-chain.
Binance
The Three Verification Tiers
To balance speed, cost, and cryptographic security, developers can select from three tailored verification modes depending on their app's risk tolerance:
CoinDesk
TEE (Trusted Execution Environment): Hardware-level isolation utilizing secure enclaves (e.g., AWS Nitro). This is the default method for LLM operations. It features minimal computational overhead and completely prevents node operators from seeing or altering user prompts.
MEXC Exchange
ZKML (Zero-Knowledge Machine Learning): Provides the absolute highest level of mathematical proof that a specific output was derived from a specific model and input. Because ZKML requires 1,000x to 10,000x more computational overhead, it is reserved for mission-critical, high-stakes tasks like automated DeFi liquidations.
MEXC Exchange
Vanilla: Simple signature verification with zero execution guarantees, ideal for low-risk prototyping and testing.
MEXC Exchange
The $OPG Token Utility & Ecosystem
The native utility and governance asset of the network is $OPG . It features a strictly fixed maximum supply of 1,000,000,000 tokens (with roughly 190 million currently in circulation). The token serves several distinct economic functions across the network's ecosystem:
MEXC Exchange
+ 2
CoinMarketCap
+ 1
Inference Nodes: Stateless GPU-powered workers that execute the AI tasks (such as LLM queries or financial risk forecasts) with near-instantaneous Web2-like latency.
Binance
Verification & Settlement: Computational cryptographic proofs are generated after execution and verified at the consensus layer by full nodes before being recorded permanently on-chain.
Binance
The Three Verification Tiers
To balance speed, cost, and cryptographic security, developers can select from three tailored verification modes depending on their app's risk tolerance:
CoinDesk
TEE (Trusted Execution Environment): Hardware-level isolation utilizing secure enclaves (e.g., AWS Nitro). This is the default method for LLM operations. It features minimal computational overhead and completely prevents node operators from seeing or altering user prompts.
MEXC Exchange
ZKML (Zero-Knowledge Machine Learning): Provides the absolute highest level of mathematical proof that a specific output was derived from a specific model and input. Because ZKML requires 1,000x to 10,000x more computational overhead, it is reserved for mission-critical, high-stakes tasks like automated DeFi liquidations.
MEXC Exchange
Vanilla: Simple signature verification with zero execution guarantees, ideal for low-risk prototyping and testing.
MEXC Exchange
The $OPG Token Utility & Ecosystem
The native utility and governance asset of the network is $OPG . It features a strictly fixed maximum supply of 1,000,000,000 tokens (with roughly 190 million currently in circulation). The token serves several distinct economic functions across the network's ecosystem:
MEXC Exchange
+ 2