Roadmap
TonGPU Project Roadmap: 2024 Q1 - 2025 Q1
2024 Q1: Core Logic Development
Develop the core logic of TonGPU, including integrating machines into the TonGPU network and establishing segmented training tasks.
Develop Node verification strategy.
Release first version program on windows.
2024 Q2: User Interface Development and Initial DEX Offering (IDO)
Design and implement user interfaces for TonGPU, focusing on ease of use and intuitive navigation for accessing computational resources.
Develop a leasing frontend for users looking to rent computational power, ensuring a seamless and efficient experience.
Start IDO preparations, aiming to introduce TonGPU to a wider market and secure funding for ongoing development.
We will first launch our project on ETH, then expand to the TON ecosystem.
Introduce real-time monitoring features on the dashboard for users to track computational tasks and resource availability.
L1 TonGPU Blockchain will be released
2024 Q3: Enhance the web console with more features
Users can directly submit training tasks via the web console, making it easy to complete training without needing to rent machines.
Users can flexibly adjust machine configurations during use, including hot-swapping components.
Integrate comprehensive user authentication and security features to ensure data protection and secure access.
Web Blockchain explorer on TonGPU network
2024 Q4 - 2025 Q1: Integration with Telegram and Optimization
Integrate TonGPU services with Telegram, allowing users to access and manage computational resources directly through the messaging platform.
Develop and refine Telegram-specific interfaces, such as bots, for user interaction with TonGPU's network.
Continuously optimize the segmented training logic to enhance computational efficiency, reduce latency, and improve overall network performance.
By strategically aligning these milestones, TonGPU aims to solidify its foundation, engage its user base, and continuously enhance its offerings. Through this roadmap, we're committed to delivering a robust, user-centric platform that leverages decentralized computing to revolutionize AI training and machine learning.
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