1. Develop the core logic of TonGPU, including integrating machines into the TonGPU network and establishing segmented training tasks.
2. Develop Node verification strategy.
3. Release first version program on windows.
1. Design and implement user interfaces for TonGPU, focusing on ease of use and intuitive navigation for accessing computational resources.
2. Develop a leasing frontend for users looking to rent computational power, ensuring a seamless and efficient experience.
3. Start IDO preparations, aiming to introduce TonGPU to a wider market and secure funding for ongoing development.
4. We will first launch our project on ETH, then expand to the TON ecosystem.
5. Introduce real-time monitoring features on the dashboard for users to track computational tasks and resource availability.
1. Users can directly submit training tasks via the web console, making it easy to complete training without needing to rent machines.
2. Users can flexibly adjust machine configurations during use, including hot-swapping components.
3. Integrate comprehensive user authentication and security features to ensure data protection and secure access.
1. Integrate TonGPU services with Telegram, allowing users to access and manage computational resources directly through the messaging platform.
2. Develop and refine Telegram-specific interfaces, such as bots, for user interaction with TonGPU's network.
3. Continuously optimize the segmented training logic to enhance computational efficiency, reduce latency, and improve overall network performance.
These people make our TonGPU one of the best web3 Computing resources platform.