Phase II
Q1/2024 - Q2/2024 (Ongoing)
Beta Testing Launch : (Ongoing)
Introduce a beta version of the NavyAI platform to a curated group of users, including LLM Model and Visual Interpretation Tool adopters.
Solicit feedback on platform usability, performance, and feature functionality to pinpoint areas for refinement.
User Feedback Integration : (Ongoing)
Analyze feedback from beta testers and prioritize feature enhancements and bug fixes based on user needs and preferences.
Iterate on the platform design and functionality to enhance user experience and address any identified shortcomings.
Token Launch : (Ongoing)
Execute the token launch according to the prepared plan, issuing tokens to early contributors and supporters.
Conduct a seed round for angel investors to secure initial funding for NavyAI's growth and development.
Launch a Liquidity Bootstrapping Pool (LBP) to ensure fair and decentralized token distribution while providing liquidity for the NavyAI token.
Performance Optimization :
Undertake performance tuning and optimization efforts to ensure that NavyAI platform meets the rigorous demands of LLM Model and Visual Interpretation Tool users.
Optimize algorithms for decentralized GPU resource allocation and AI model training to maximize resource utilization and minimize training time.
Product Concept :
Develop a proof of concept on powering NavyAI compute with clusters deployed through io.net
Investigate the feasibility and potential benefits of integrating io.net clusters into the NavyAI platform for enhanced compute capabilities and scalability.
Collaborate with the io.net team to explore technical integration requirements, performance benchmarks, and deployment strategies for leveraging io.net clusters within NavyAI's decentralized infrastructure.
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