Staking
Staking on Graphix AI refers to the process where users can lock their $GRAPHIX tokens within the platform to support network operations, such as transaction validation and maintaining the decentralized infrastructure. Stakers contribute to the security and performance of the network by helping validate tasks and manage the flow of computational requests. In return, they receive rewards based on their staked amount and the duration of staking.
The staking mechanism incentivizes long-term participation by offering tiered rewards, where users staking more tokens or for longer periods gain higher returns. Stakers also play a role in governance, voting on key platform decisions and updates.
Graphix AI employs a robust smart contract system that automates staking, ensuring transparency and security in reward distribution. The platform also features options for flexible and fixed-term staking, giving users control over their staking period, rewards, and risk preferences.
This staking infrastructure is designed to be scalable, allowing more users to participate in securing the network and ensuring the seamless execution of computational tasks across GPU nodes. As Graphix AI grows, staking will continue to be an integral part of the ecosystem, aligning user incentives with platform sustainability.
Staking Incentives for Graphix AI
The Graphix AI Staking Incentives program offers various Annual Percentage Yields (APY) based on the staking duration and amount of $GRAPHIX tokens.
30 Days: Earn 10% APY for staking between 0–50,000 $GRAPHIX, with additional benefits as the amount increases.
60 Days: APYs rise to 14%, with incentives scaling based on higher staking amounts.
90 Days: The most lucrative period, offering up to 18% APY, plus discounts on future services ranging from 10% to 25%, depending on the amount staked.
Participants can maximize rewards by staking for longer durations and larger amounts. These incentives are designed to encourage participation in the platform and support long-term engagement with Graphix AI.
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