GPU Resources Sharing

Get profit by Sharing graphic card resources.

GPU resource sharing for training AI refers to sharing computing power with Netword, looking to train translation machine learning. Users can utilize GPU resources remotely and earn their profit as $WORD tokens. Users can scale up or down based on their requirements. They can rent GPU resources for short-term tasks or long-term projects.

We believe we can compete in this large market with powerful competitors because we learn from our users. This means that every time a translation is performed on our service, our AI will become even more potent in the field of translation, surpassing even the most powerful GPT models. Training AI requires graphics processors; if we were to use centralized servers, we would have to pay the costs.

We prefer that our users pay these costs by sharing their hardware resources. By installing our software on their operating systems, they can benefit from our services. It is a cost-effective approach that allows us to provide competitive pricing to our users.

* This function will be fully described closer to the dApp launch. However, you can obtain more information by reviewing the whitepaper.