NavyAI | JupLFG Application Proposal

Dear ladies and gentlements from Jupiter team! We’re NavyAI, the first on-chain AI protocol layer on Solana which raised from Delphi Digital CEO, Founder XAI and many more Angles, VCs on the seed round. Today, we want to spread our kindest words about NavyAI to Jup community. All of us in below article, thank you and glad to be here!

The Pioneering AI Layer Protocol on Blockchain: Revolutionizing AI Model Training and Self-Learning

In the rapidly evolving world of artificial intelligence (AI), the need for accessible, efficient, and robust platforms for AI model training has never been greater. Recognizing this, we are proud to introduce the first AI Layer protocol built on-chain, designed to revolutionize the way AI models are trained and developed. Our platform is dedicated to making sophisticated AI technology accessible to everyone, allowing users to create their own AI large language models (LLMs) simply by providing input prompts.

Under the support of the Decentralized Computing Network, we are currently also in the testing phase of Nav3-lite, our smallest size model. Boasting 4.9 billion parameters and offering two context lengths (4K and 128K tokens), Nav3-lite represents our commitment to providing high-quality, efficient AI solutions that cater to a wide range of applications and environments.

Key Features of Nav3-lite

  1. Best Quality-Cost for Size: Nav3-lite outperforms models twice its size, delivering exceptional quality while maintaining cost efficiency. This makes it an ideal choice for projects where budget and performance are equally critical.
  2. CPU and GPU Compatibility: Whether you’re running on a cloud server, an on-premise setup, or even on-device, Nav3-lite ensures seamless compatibility. This flexibility allows users to deploy the model in various environments without worrying about hardware limitations.
  3. Blazing Fast Inference Speed: One of the standout features of Nav3-lite is its incredible inference speed. This ensures real-time processing and responses, making it suitable for applications that require quick decision-making and minimal latency.

Upcoming Versions: Nav3-small

In addition to Nav3-lite, we are excited to announce the development of larger versions within the small models category: Nav3-small. This model will feature approximately 6 billion parameters, offering enhanced capabilities while still maintaining the efficiency and speed that Nav3 is known for. The Nav3 series is designed to bring cutting-edge AI performance to a broad range of users, from individual developers to large enterprises, ensuring that everyone has access to powerful and efficient language models. All models will be open-sourced in August.

Empowering Users with Simplified AI Model Creation

Our platform democratizes AI model creation by offering a user-friendly interface where individuals can develop their own AI LLMs with minimal effort. By simply inputting prompts, users can harness the power of advanced AI without needing extensive technical knowledge. This innovative approach leverages resources from decentralized GPU platforms like and Render Network, ensuring that even complex AI tasks are within reach for all users.

GPU Contribution Program: Harnessing Collective Power for AI Training

The backbone of effective AI training lies in robust graphics processing units (GPUs). Typically, high-demand AI tasks require GPUs from the NVDA 30 or 40 series for Windows, and M2 Max or M3 chips for macOS. However, the scarcity of these high-end configurations poses a significant challenge. In response, Navy AI has launched the GPU Contribution Program, inviting individuals with various GPU specifications to contribute to the AI training process.

Participants can easily submit their GPU details through our website interface, where key information such as IP address and graphic card model is collected. Our engineering team then aggregates these resources, optimizing them for high-demand AI training tasks. This collaborative approach not only maximizes resource utilization but also fosters a sense of inclusivity within the AI development community.

Uniqueness and Inclusivity

With its decentralized GPU Network, NavyAI provides a cost-effective and easy-to-use solution for individuals, startups, and small businesses. This approach ensures that everyone can access the most optimal Large Language Model (LLM) for their needs without incurring excessive expenses.

Key Highlights

  • NavyAI has successfully closed a seed funding round with the participation of over 100 esteemed angel investors and venture capital firms.

  • NavyAI’s beta testing phase for its LLM and GPU contribution program has received over 542K+ Builder LLM Requests, 6249 contributed GPUs, and 224 merged GPUs.

Building an AI Ecosystem Around Navy AI

At the heart of Navy AI is a comprehensive ecosystem designed to support and enhance AI development. This ecosystem includes several groundbreaking platforms and tools:

  1. Integrated Development Environment (IDE) for Blockchain Protocols: Our IDE is optimized for blockchain protocols, offering a seamless development experience for AI projects. Explore more.
  2. AI-Powered Data Recovery Storage Platform: Enerzion, our AI-driven data recovery platform, ensures that valuable data is securely stored and easily retrievable. Learn more.
  3. Grokverse: The technological core behind Navy AI, Grokverse pioneers the true decentralization of AI, providing the foundation for all our projects. Discover Grokverse.

Meet the Team: Pioneers in AI and Blockchain

Our team comprises industry experts with extensive experience in AI, blockchain, and technology:

  • Founder: With six years of experience in IT outsourcing and founding two traditional AI startups, our founder has been deeply involved in the crypto industry since 2020.
  • Head of AI Engineering: A former TSMC and Microsoft AI Engineer, our head of AI engineering brings four years of experience in LLM training models.
  • DevOps Lead: With a background in IT outsourcing, our DevOps lead has worked on projects for Sony, Panasonic, and NVIDIA.
  • Data Engineering: Our data engineer has six years of experience in data setup, fine-tuning, and data cleaning.

Strategic Partnerships and Collaborations

Navy AI has forged partnerships with leading platforms to enhance our capabilities and reach:

Token Distribution & Utility

Ticker: $NAVY

  • Max Supply: 10,000,000,000 $NAVY
  • Mining: 4B tokens, 90 days lock. 6 months stake to redeem.
  • Treasury: 1.3B tokens, 10% at TGE, the rest 11 months cliff, 11-month linear vesting.
  • Public Sale: 2B tokens, TBD at TGE through LBP.
  • Seed: 1B tokens, 20% at TGE, 80% 1-year linear vesting.
  • Contributor: 1B tokens, 3 months cliff, 2-year linear vesting.
  • Liquidity: 700M, 100% at TGE

Token Utility

  • Access to AI Models: $NAVY tokens provide users with access to NavyAI’s decentralized AI models, trained using the decentralized GPU network to ensure cost-efficiency and high performance.
  • Staking and Rewards: Users can stake $NAVY tokens to earn rewards, supporting the network’s stability and incentivizing active participation from the community.
  • Governance: Token holders can participate in the governance of the NavyAI platform, including voting on proposals, updates, and changes to the ecosystem.
  • Marketplace Transactions: $NAVY tokens facilitate transactions within the NavyAI marketplace, enabling users to buy and sell AI models, data sets, and other digital assets securely and efficiently.
  • Discounts and Benefits: Holding and using $NAVY tokens can provide users with discounts on services and enhanced benefits within the NavyAI ecosystem.
  • Token Burn Mechanism: A portion of $NAVY tokens is periodically burned to reduce the total supply, creating scarcity and potentially increasing the token’s value over time.
  • Incentive Programs: $NAVY tokens are awarded through various incentive programs, including contributing to the network, participating in testnets, and other community activities.
  • Data Privacy and Security: $NAVY tokens support the decentralized data storage and security features of NavyAI, ensuring that users’ data is protected and managed securely.

Further details about $NAVY token utility can be found in the NavyAI official documentation.

Revenue Model

NavyAI’s revenue model is centered around two main streams:

  1. User Subscription Fees: Users can utilize NavyAI’s infrastructure to create their own AI models. Based on the frequency of use, users will be charged a subscription fee.
  2. GPU Merging: NavyAI earns rental fees by supplying GPUs into a decentralized computing network.

We invite you to be part of the Navy AI revolution. Explore our resources, engage with our community, and contribute to the future of AI development:

Together, we are building the future of AI—accessible, decentralized, and empowering for all.


Reads good on first glance, do not take it as criticism but more curiosity and wanting to get a hold of “the proof in the pudding”.

Maybe it slipped my eye or I did not catch it, or by intention, I do not find much as in like Linkedin or team overview by identities. There are some impressive claims in the employee structure, so call me old fashioned but it would help me grasp better to see some Linkedin profiles and get the feeling of realitiy here.


Exactly my thoughts as I went back 2 times to see if I missed it. No pictures, names, no links to profile of developers, founders etc. But the project sounds solid on reading as it looks as if it brings together a lot of aspects of AI under one project. These are critical information that shouldn’t be miss in such an introduction of a project to a DAO for consideration.


What specific benefits does NavyAI’s decentralized approach offer for AI model training and deployment, and how does it address current challenges in the field, such as data privacy, model bias, and access to computing resources, to enable more efficient, transparent, and inclusive AI development and deployment?


Navy is the future! Very bullish on this project and team!


Looking forward and see what will be the outcome !


We want good news from you. Do you gonna have more team ups with other AI projects?


Could you elaborate on the strategic partnerships with and Chasm and how they enhance NavyAI’s capabilities?


Great Proposal.
I’m impressed @NavyAi


What is your strategy in the future to reach a wider range of people interested in your project, and what are the reasons why $NAVY is the right long term project?


As for testing, are you open to the community for testing?


I see that the project has strong goals, but the number of tokens is large. I think there should be a strong burning method?
What is the value of the project that differs from similar projects? What will distinguish NAVY?


Can you tell us how in the future the Navyai project will run as it should, sir, then will we get more profit from purchasing nodes that run from tier 1 - the specified tier?
So will Navyai continue to look for more partners to create bigger projects in the future?
Please let us know if there is any extraordinary announcement from you sir , thankyou !


Hopefully the application will succeed although we don`t see any info regardin marketing…how will this project will outstand in front of others ? Does NavyAI has only 3 members? Thanks you!


Awesome keep goin as long as the you reward the community that supported you from the start with consistency and be creative making always something new Depin and ai are the best neratives after all


good news! We hope the project will be taken to a new level!


How do you plan to handle potential challenges with scaling and securing your decentralized GPU network, especially as more people start using it and the demand for high-quality AI solutions increases ?


Very interesting project indeed. I have one question to the team that summarize many aspects of NavyAI project:

Given the current rise of projects on Decentralized AI, Depin GPU and AI Model Training, how will NavyAI ensure in the long term that their ecosystem will continue to be the go-to standard for AI Developers?


What are your advantages and disadvantages to other AI project in the space such as NodeAI($GPU) and What is your main edge your compititors?


Very interesting project indeed

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