The growing demand for AI models, especially large-scale models like GPT-4, has led to a significant strain on resources. Training these models requires immense computational power, typically only accessible to large companies with dedicated GPU clusters.
This creates a barrier for independent developers, startups, and even research institutions, who either face prohibitive costs or long training times. Additionally, idle GPUs around the world represent an underutilized resource that could be harnessed for AI training but are currently disconnected from a centralized network.
Our platform democratizes access to high-performance AI training by creating a distributed system that leverages idle GPU power from individuals and organizations across the globe. By decentralizing AI training through a network of contributors, we significantly reduce the cost and time required to train large models.
GPU providers are incentivized with token-based rewards for contributing their computing power, while AI developers benefit from fast, scalable, and cost-effective model training. This combination of blockchain-powered rewards and distributed computing brings AI model training to everyone.
Global AI Market Size for 2024 196.63 billion
(CAGR: 36.6%)
Expected Revenue forecast in 2030 $1.8 trillion
Source: Grand View Research
Global GPU Market for 2023 69.8 billion
(GPU demand in AI expected to grow by 33% to 526.7 billion by 2030)
Source: Grand View Research
Rise in Demand for Decentralized Computing Solutions
(Over the next decade)
Source: Statista
Our platform operates on a token-based reward system that compensates GPU contributors for providing their processing power. When you contribute idle GPU resources, you earn tokens for the computing power used by AI developers and enterprises to train their models.
These tokens can be traded or converted into popular cryptocurrencies such as Bitcoin or Ethereum, or directly exchanged for fiat currency through partner exchanges.
We’ve selected partners with leading decentralized finance (DeFi) platforms and cryptocurrency exchanges to offer seamless token conversion, staking, and liquidity. This ensure that GPU contributors can easily convert their rewards into other assets or reinvest in the ecosystem.
Our token is designed to be liquid and integrated with popular DeFi protocols, allowing contributors to maximize their earnings and have multiple options for utilizing their tokens.
Our architecture is designed to scale efficiently and securely handle complex AI model training tasks across a distributed network of GPU resources. The platform integrates model submission, task distribution, real-time monitoring, and token-based reward distribution, all through a decentralized framework.
By leveraging cutting-edge technologies and a decentralized framework, our platform is built to be secure, scalable, and future-proof.
During this phase, we refine the vision, business plan, and revenue model for the platform. This is also when we secure the initial funding to develop the platform
We develop the platform's technical architecture, build a working prototype, and establish a proof of concept, all while integrating key technologies for distributed AI training.
Building a full-scale platform with robust features, including model submission, distributed processing, and token-based rewards. Beta testing helps fine-tune the platform before launch.
We focus on optimizing platform performance and scaling the GPU network by expanding infrastructure and improving blockchain integration for token liquidity and rewards.
With the platform fully launched, we focus on growth through marketing, partnerships, and scaling infrastructure to support more users and increasingly complex AI models.
Our revenue model is designed to be sustainable and scalable:
Info: info@nyxi.ai
Investor Relations: ir@nyxi.ai
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