Incentivize Nodes

As the popularity and demand for the VaikerAI Token continue to soar, it becomes increasingly crucial to establish a robust system for assessing the competence and dependability of users operating GPU Nodes. Simultaneously, there is a need to assign distinct rankings to users who are actively seeking jobs within the network. These rankings will play a pivotal role in incentivizing and aligning the interests of all stakeholders involved, fostering a seamless and efficient operation of the network. This comprehensive evaluation framework aims to ensure the optimal performance and reliability of the entire ecosystem.

Users Running the GPU Nodes

Each user leveraging GPU Nodes will be allocated a numerical ranking within the dynamic scale of 0 to 100, reflecting their performance and engagement. To kickstart this ranking adventure, users commence with a baseline value of 50. As tasks are executed successfully, the user’s ranking ascends, influenced by a nuanced interplay of factors such as the intricacy and duration of the undertaken tasks, coupled with the computational might of the GPU. Conversely, if a task meets an unfortunate fate of non-completion, the user’s ranking takes a dip. The degree of decline is intricately tied to a 30-day rolling average, scrutinizing the percentage of completed jobs against the total jobs attempted—a comprehensive metric encapsulating the user’s reliability and consistency over time.