Phase III

Q1/2025 - Q2/2025

  1. Market Research and Analysis:

    • Conduct an in-depth analysis of the current market trends, demands, and competitors in the AI infrastructure and decentralized computing space.

    • Identify potential opportunities and challenges for developing and integrating the Super GTX-3080 with io.net

  2. Technology Assessment and Planning:

    • Evaluate the technical requirements and feasibility of developing the Super GTX-3080, considering factors such as performance, scalability, and compatibility with io.net

    • Develop a comprehensive plan outlining the development milestones, resource requirements

  3. Prototyping and Testing:

    • Begin the prototyping phase to design and build the Super GTX-3080 hardware, software, and network integration components.

    • Conduct rigorous testing and validation to ensure the reliability, efficiency, and compatibility of the Super GTX-3080 with io.net

  4. Iterative Development and Optimization:

    • Iteratively develop and refine the Super GTX-3080 hardware and software components based on feedback from testing and user trials.

    • Optimize the performance, scalability, and energy efficiency of the Super GTX-3080 to maximize its utility and cost-effectiveness for users on io.net

  5. Integration with io.net Network:

    • Integrate the Super GTX-3080 with the io.net network infrastructure, enabling seamless access to decentralized GPU resources for AI model training and inference.

    • Develop protocols, APIs, and interfaces for users to leverage the Super GTX-3080 within the io.net 's ecosystem

  6. Documentation and Training:

    • Develop comprehensive documentation, tutorials, and training materials to educate users on the capabilities, features, and usage of the Super GTX-3080 and its integration with io.net

    • Provide ongoing support and resources to assist users in effectively utilizing the Super GTX-3080 for their AI computing needs.

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