Challenges

Solving the limitations of centralized systems and providing equitable access to computing power.

Training AI models currently requires significant computing resources, with costs reaching millions of dollars. This limits AI development to large tech companies and well-funded institutions. Through our decentralized GPU network, we slash computing costs by 70%, making AI development accessible to individuals and smaller organizations.

Most GPUs sit idle for extended periods. Gaming PCs, workstations and even professional setups often operate below 20% capacity. Our platform enables GPU owners to monetize this unused power, creating a new income stream while contributing to a more efficient computing ecosystem.

Managing GPU infrastructure traditionally requires deep technical expertise and significant time investment. We automate the entire process - from resource allocation to security and payments. Users simply submit their computing jobs and our system handles everything else.

Access to high-end GPUs remains restricted, especially for short-term or variable computing needs. Our network provides flexible, on-demand access to a wide range of GPUs, scaling from basic training needs to complex AI workloads.

Through these solutions, we're building a more inclusive and efficient AI development ecosystem that benefits both GPU owners and developers.