$DEAI vs $TAO : Economic cost Comparison of these two projects
The cost of creating a subnet varies between $DEAI and $TAO due to their respective technical approaches and economic mechanisms.
The economic cost is really important for future development and adoption.
Let’s dive into this 👀
Comparison:
✅ $DEAI (Decentralized AI) 🤖 :
The costs of developing or creating subnets in $DEAI mainly depend on the costs of deploying new nodes and the specific requirements for setting up the infrastructure.
These costs may include the acquisition of computing equipment for decentralized artificial intelligence nodes.
The $DEAI project by the zero1labs team aims to reduce these costs in order to allow developers and companies to use their network.
This will allow a more economical and growing adoption of its network.
Also remember that the zero1labs project allows the use of the $DEAI token in its projects, which will allow better adoption in the future.
We are talking about a cost ranging from $50 to $200.
✅ $TAO (Bittensor) 🤖 :
In the case of $TAO, the creation of a subnet involves direct costs, called “subnet lock costs”, which vary depending on the demand on the network.
For example, the current cost to register a subnet can start at 100 TAO or more, depending on the dynamics of the ecosystem (around $55,000)
This amount is blocked and can be recovered if the subnet is deregistered later.
This method makes it possible to regulate the number of active subnets and maintain a certain balance in the network.
Conclusion :
Both projects aim to revolutionize artificial intelligence with two distinct approaches.
The cost of deploying a $DEAI subnet is clearly more economical than $TAO.
This will undoubtedly allow for greater adoption on the side of developers and companies, cost control being very important these days in the context of the development of a web3 project and others.
