OpenGradient’s revenue model is mainly built around AI inference fees.
1. Core revenue model
Users or applications pay to run AI models on the OpenGradient network.
These payments are typically made in OPG.
So the main economic engine is: AI usage → inference demand → fee generation.
2. How the revenue flows
Instead of a traditional Web2 SaaS model,
@OpenGradient works more like a decentralized AI infrastructure marketplace:
Compute / inference nodes earn from providing processing power.
Validators / verification nodes earn from checking or verifying outputs.
The network may also direct part of the value flow toward ecosystem incentives and security.
Follow to read more about the business model.
#opg $OPG
1. Core revenue model
Users or applications pay to run AI models on the OpenGradient network.
These payments are typically made in OPG.
So the main economic engine is: AI usage → inference demand → fee generation.
2. How the revenue flows
Instead of a traditional Web2 SaaS model,
@OpenGradient works more like a decentralized AI infrastructure marketplace:
Compute / inference nodes earn from providing processing power.
Validators / verification nodes earn from checking or verifying outputs.
The network may also direct part of the value flow toward ecosystem incentives and security.
Follow to read more about the business model.
#opg $OPG