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Amplify Your Power

Modular AI Data Centres

WHY NOW

The AI Revolution

RACING TO 100 GW FOR AI COMPUTE BY 2030...

  • The AI industry is rapidly expanding with major investments in infrastructure.

  • AI compute demand will grow to 100+GW by 2030.

  • Meta, Google, and Microsoft are leading with billion-dollar GPU investments.

  • Power plant owners can enhance their business models by integrating AI-focused Mobile Data Centers.

  • Increased Adoption Across Industries: AI is being integrated into diverse sectors such as healthcare, finance, manufacturing, and entertainment, driving an exponential demand for computational resources.

  • Emergence of Generative AI: The rise of generative AI applications, such as ChatGPT and DALL-E, requires massive computational power to handle large-scale model training and deployment.

  • Global AI Race: Governments and enterprises worldwide are competing to lead in AI innovation, further accelerating infrastructure development and investments.

  • Edge Computing Growth: The need for localized data processing is fueling the demand for scalable, distributed AI data centers.

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WHY US

Proven Expertise, Deal Flow and Innovation

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  • We bring over two decades of experience in building Data Centres for Fortune 500 companies.

  • Complemented by our innovative approach in creating Mobile Data Centres in last 10 years.

  • Our team has a strong track record of developing AI startups in Silicon Valley and Europe.

  • Our mobile Data Centres and platform for their management and distribution have been successfully tested on big clients.

Our Solution: High-end Mobile Data Centers

Building large Data Centres is the traditional approach to addressing AI computing needs. However, this solution comes with significant drawbacks:

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Decentralized Deployment

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Fully Automated

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AI Powered innovations

Lack of Global genuine Green Energy Sources

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Global connectivity

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Immediate Increase in Revenue

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Lack of Global genuine Green Energy Sources

The problem or Opportunity?

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AI Compute shortage

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AI Startups Lack resources

Revenue projection

How Big is this?

The current solution: Large Data Centres

Building large Data Centres is the traditional approach to addressing AI computing needs. However, this solution comes with significant drawbacks:

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Lengthy Construction Times

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High Resource Consumption

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Scalability issues

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  • A network of Mobile Data Centres with a combined capacity of 90 GW is required to build a truly autonomous general AI.

  • Each Mobile Data Centre, consuming 300 kW, contributes significantly to this goal. We will need 300k+ of them.

  • This vast network will drive the AI revolution and position participating power plants as key players in this transformative industry.

  • Based on forecasted consumption, they will cost $2.58T to build. And generate roughly $17T in revenue for their owners plus DCXPS.

Global drive to Renewables

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Global climate impact concerns of AI Data Centres powered by fossil fuels

Creates a strategic opportunity to build mobile AI Data Centres powered by renewable Biogas & Solar Power Plant  Energy sources.

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  • Based on our forecasts and the current market, an investment of €10,650,000 *) in a single 310kW modular AI Data Center unit will yield €26 million over four years with 85% utilization.

  • After accounting for initial investments and operating costs, this means an EBITDA of €14 million.

  • A significant impact on the Revenue has the Energy Source type, Renewables have a major advantage given the favorable costs

*) this price is related to the presented GPU configuration; the end price may vary depending on end GPU set configuration.

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