The four core application scenarios are now officially launched and operational:

First is creative content generation—image and video synthesis, supporting virtual world construction. Second, it supports AI model training and fine-tuning, enabling developers to iterate quickly based on a distributed computing network. Third, it meets the GPU needs of proxy programs, providing stable and low-cost computing resource access. Finally, a community GPU resource pool has been launched, allowing users to participate in tokenized clusters starting from as low as $100, achieving ownership and revenue from computing power.

This model shifts GPU computing power from centralized monopolies to community sharing, reducing the computational cost barrier for small teams and developers, while opening new revenue channels for resource providers.