A crypto presale backed by real-world infrastructure projects that generate electricity through renewable sources and power GPU clusters driving the AI revolution. That is what the EcoYield crypto presale will offer when it goes live on October 15th.
A report from Pennsylvania State University found that energy demand from AI infrastructure is set to triple by 2028. With demand already outpacing supply, EcoYield aims to capture a share of this rapidly growing market through its tokenized, solar-powered GPU clusters.
The EcoYield crypto presale will see the native $EYE token undergo a tiered raise structure, with its price increasing at each phase. Like most presales, this rewards early participants, but that is where the similarities end.
EcoYield is the world’s first tokenized, renewable-powered AI compute network that generates real yield for $EYE holders, distributed in stablecoins directly to their wallets.
Launching into a crowded presale market filled with hype-driven promises, EcoYield stands apart. Instead of speculation, it offers investors exposure to tangible infrastructure, including solar farms and GPU-powered data centers that form the backbone of AI.
Crypto Presale Backed by Renewable Energy and AI Infrastructure
It’s logical in this market to have doubts about projects that claim to offer tokenized real-world assets, especially during a presale. Initial research into EcoYield reveals that the team has already begun deploying the infrastructure that backs the $EYE token.
EcoYield builds modular data centers powered by renewable energy that host high-performance NVIDIA H100 GPUs, the same hardware used by leading AI companies like OpenAI and Google. These GPUs are leased to AI developers, enterprises, and decentralized compute networks, generating real, asset-backed yield for investors.
In London, EcoYield’s NHS EV Charging Station features 8 twin ROLEC Quantum units (15 ports, 7 kW) with an estimated 38.6% APY, and even donates 20% of revenue back to the NHS Foundation.
In Leeds, the project will combine 8 NVIDIA H100 GPUs with a 150 kW rooftop solar array, creating a clean-powered AI compute farm delivering around 24.7% APY. While in Dubai, the upcoming flagship site will deploy 100 NVIDIA H100 GPUs, an 800 kW solar PV system, and a 2 MWh Battery Energy Storage System (BESS), targeting a 30% APY.
This level of physical infrastructure and transparency firmly positions EcoYield as a front-runner in the utility-focused crypto presale market.
Data centre growth is expected to continue in the coming decade. Source: PennState
$EYE: Real World Yield Over Hype
The $EYE token offers crypto presale buyers two assets in one: the token itself and a yield-generating protocol. As a result, holders are positioned to earn both from the price appreciation of $EYE and from the distributed returns generated by the real-world infrastructure that EcoYield builds and operates.
Here’s how it works: investors contribute stablecoins during the presale, which are used to fund renewable-powered GPU and energy projects. Once these assets are deployed, they begin producing income from GPU leasing and energy sales. That revenue flows back to investors as a tablecoin yield.
EcoYield’s model delivers what most crypto projects only promise — real yield, real infrastructure, and transparent returns.
Final Thoughts: A Crypto Presale with Real-World AI Ambition
The EcoYield presale launch comes as the AI revolution picks up speed. The global stock market is dominated by AI companies, and governments from the US to Europe and Asia are investing vast sums into AI solutions. One of the major challenges facing the industry is its massive energy demand.
Training AI models, running inference, cooling servers, and storing data all consume vast amounts of power. Building coal plants next to AI data centers isn’t the answer. This is where EcoYield steps in with solar-powered GPU data centers connected directly to global AI compute marketplaces.
The $EYE presale goes live tomorrow. Early buyers can position themselves at the lowest entry price and join a project that fills the growing demand for sustainable, solar-powered GPUs powering the AI economy.
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