Node Revenue

For Users: Training AI Models on Mainet

As a user looking to train models on Mainet, you begin by browsing the marketplace for aNodes offering data preparation services aligned with your requirements. You can review service descriptions, fees (listed in $MAI tokens), and ratings/reviews to select the most suitable aNode(s) for gathering and authenticating your data.

Next, you search for aNodes specializing in data validation and quality assurance. After comparing their expertise and listed fees, you choose the aNode(s) you want to validate your prepared data and pay them directly in $MAI tokens.

For model training, the marketplace provides a comprehensive listing of tNodes, each specifying:

• Hourly rates in $MAI tokens for computational resources

• Detailed hardware specifications (GPUs, CPUs, memory, etc.)

• Reputation scores and customer reviews

You can shortlist tNodes that meet your training requirements and budget, engaging the selected tNode(s) and paying them based on their listed hourly rate multiplied by the total training time.

aNode Operators

As an aNode operator, you list your services on the Mainet marketplace, specifying your fees in $MAI tokens for data preparation and validation services. Your listing should clearly outline your areas of expertise, such as specific data domains, types of data handled, and any specialized techniques or tools you employ.

To earn revenue, you optimize your listing by:

• Offering competitive fees for data preparation and validation

• Highlighting your expertise, specializations, and successful past projects

• Building a strong reputation through high-quality data services

When users engage your services, you earn revenue directly based on the listed fees you charge for data preparation and validation tasks.

tNode Operators

As a tNode operator, you begin by setting up your node with the necessary hardware (GPUs, CPUs, memory, etc.) and software for efficient model training. You then create a marketplace listing, registering your tNode on the Mainet network and setting your hourly rate in $MAI tokens for providing computational resources. Your listing should include detailed information about your hardware specifications, training capabilities, and areas of expertise.

To earn revenue, you optimize your listing by:

• Offering competitive hourly rates

• Highlighting your hardware capabilities and specializations

• Building a strong reputation through high-quality services

When users engage your services, you earn revenue directly based on your listed hourly rate and the total number of hours spent training their models. If you choose to collaborate with other tNodes on specific training tasks, you can establish predetermined agreements on revenue distribution based on contributions, reputations, or other factors.