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Tonomia eCloud : Addressing AI’s Growing Energy Demand with a Green and fast to implement Solution

The rapid expansion of artificial intelligence (AI) infrastructure is driving an unprecedented demand for electricity. AI systems—spanning from data centers to smart city applications—require vast amounts of energy for continuous, high-performance computing and cooling. This demand is projected to reach 650 TWh annually by 2030, creating significant challenges for existing electrical networks, which often take 5 to 10 years to upgrade or expand.

Why Parking Lots Can Help Address the Issue


Parking lots offer a unique and underutilized opportunity to generate renewable energy at scale. Covering just 30% of global parking areas with solar panels could produce an estimated 5000 TWh of electricity annually—more than enough to meet the energy needs of all AI systems worldwide.

How eParking will help ?


eParking Solar Module is a renewable power plant designed to support energy-intensive AI infrastructure. Its ability to generate, store, and distribute clean energy enables seamless operation for AI systems, including data centers, edge computing nodes, and IoT devices. By integrating distributed computing directly into its design, eParking modules can power edge servers to process data locally, reducing latency, energy consumption, and dependence on centralized data centers.

eCloud Integration

The integration of Tonomia Servers into eParking Solar Modules, forming a sustainable and innovative energy and data solution:

Autonomous Power:
The system’s design highlights the capability of Tonomia Servers to operate on renewable energy generated on-site by the solar modules, reducing dramatically the need for external energy sources.

Tonomia Servers Module:
Advanced servers, equipped with water cooling systems, installed directly within eParking structures. These servers are designed to leverage the power generated by the solar panels integrated into the eParking modules, ensuring reliable and renewable energy supply.

eParking Solar Modules:
The servers are housed in the eParking units, which are equipped with solar panels and energy storage systems. These modules act as a distributed data and energy solution, making them ideal for supporting applications like edge computing and AI infrastructure.

Tonomia Servers Clusters:
When scaled up, multiple eParking modules form a cluster, creating a decentralized network of computing power. This cluster can efficiently process data and power advanced technologies like AI and IoT systems while reducing environmental impact.

The eParking for eCloud solution leverages parking lots as hubs for solar energy generation, server hosting, and heat recovery, backed by patented technologies.

Typical Tonomia eCloud layout

  1. Solar Energy Integration:
    • Parking lots are equipped with solar panel canopies, providing renewable energy to power the infrastructure.
    • Variants include:
      • Solar-only installations.
      • Solar with integrated batteries for energy storage.
      • Solar combined with servers for AI computing tasks.
  2. Server Operations:
    • Servers are strategically placed in the parking infrastructure, utilizing locally generated energy to perform computing tasks.
    • This decentralized model supports scalable AI applications while minimizing reliance on centralized data centers.
  3. Energy Storage:
    • Batteries store excess energy from solar panels, ensuring uninterrupted power supply to the servers during periods of low sunlight.
  4. Heat Recovery:
    • Waste heat generated by the servers is recovered and redirected to nearby buildings, enhancing energy efficiency and sustainability.
  5. Security Measures:
    • The eParking facilities incorporate advanced security features to ensure the safety of both the infrastructure and data.
  6. Cloud Integration:
    • The entire system connects to a broader cloud network, enabling data storage and real-time accessibility.

Tonomia eCloud: A distributed Computing Model

Tonomia eCloud: A Distributed Computing Model, which integrates renewable energy and AI infrastructure within parking lots, transforming them into AI Factories. The model enables decentralized, scalable, and sustainable AI computing while maintaining connectivity to a centralized data center hub for secure storage and coordination.

  1. Centralized Data Hub:
    • At the core of the network is a Data Center HUB, responsible for securely storing and managing data. The hub serves as the backbone of the distributed system, providing robust data security and enabling seamless integration between AI Factories.
    • Such service is provided by a third party owning currently classical data centers.
  2. AI Factories of Varying Sizes:
    • Small AI Factories: Designed for parking lots with fewer than 500 spaces, these installations offer moderate computing power, supported by solar energy generated on-site.
    • Medium AI Factories: Serving parking lots with 500–1,000 spaces, these installations provide significantly higher computing capacity, fueled by an increased solar energy supply.
    • Large AI Factories: Found in parking lots with more than 1,000 spaces, these installations offer maximum computing power, enabling the execution of large-scale AI tasks, thanks to abundant on-site renewable energy.
  3. Scalable Energy-Computing Synergy:
    • The larger the parking lot, the more energy the solar panels generate, allowing for greater AI computing power deployment. This scalable model ensures that energy availability and computing capabilities grow in tandem.
  4. Sustainable and Autonomous:
    • Each AI Factory operates autonomously by generating clean solar energy, which powers the servers and computing infrastructure. This reduces dependency on traditional power grids while promoting sustainability.

This distributed model revolutionizes traditional AI data center setups by harnessing parking lots for renewable energy and AI computing, offering a future-proof solution for energy-intensive AI applications.

Tonomia eCloud Deployment Roadmap

The Tonomia eCloud Deployment Roadmap outlines a strategic, three-step plan to establish AI-powered, renewable energy-based eCloud facilities in parking lots. These steps progressively integrate AI Factory operations into parking infrastructures, ensuring a scalable and sustainable rollout.

Step 1: Initial Deployment

  • AI Factory Location: Located within buildings.
  • Management: Managed by third-party operators.
  • Facility Ownership: Facilities are owned by individual building owners.
  • Focus: Establish a foundation for AI Factory operations, testing their functionality within a controlled environment.

Step 2: Expansion

  • AI Factory Location: Shift to eParking facilities, integrating solar energy generation and computing capabilities directly into parking lots.
  • Management: Still managed by third-party operators.
  • Facility Ownership: Ownership transitions to Tonomia and its partners, ensuring collaborative expansion.
  • Focus: Scale deployment to parking lots, enabling efficient energy utilization and supporting medium-scale AI Factory operations.

Step 3: Full Integration

  • AI Factory Location: Fully operational in eParking facilities, optimized for large-scale deployment.
  • Management: Managed by Tonomia directly, ensuring complete control over operations.
  • Facility Ownership: Entirely owned by Tonomia and its partners, centralizing ownership and management.
  • Focus: Achieve maximum scalability and efficiency, establishing a robust network of AI-powered parking facilities.

This phased approach ensures a seamless transition from initial testing in buildings to full deployment in eParking infrastructures, promoting innovation, scalability, and sustainability in AI Factory operations.

In the first phase of implementation, eCloud servers could be installed in buildings surrounding eParking sites. These servers would benefit from locally generated renewable energy, while excess heat from the servers could be recovered to support heating needs in nearby facilities, further enhancing sustainability.

Tonomia advanced eCloud Solution

Why eParking Stands Out for AI power supply?

As the demand for energy-intensive AI infrastructure grows, various energy solutions are being explored to meet this challenge. Gas power plants, nuclear energy, hydrogen power, and renewable solutions like solar energy are all contenders in this race. However, among these options, eParking Solar Modules offer a uniquely advantageous approach that outperforms traditional alternatives in scalability, sustainability, and implementation speed.

Advantages of eParking Solutions for AI Infrastructure Compared to Gas, Nuclear, and Hydrogen Power Plants

  1. Renewable Energy Source
    • eParking: Harnesses solar energy, a clean and infinite resource, ensuring long-term sustainability.
    • Gas Power Plants: Depend on fossil fuels, which are finite and emit greenhouse gases.
    • Nuclear Power Plants: Use uranium, a non-renewable resource, and face challenges with radioactive waste.
    • Hydrogen Power: Green hydrogen relies on renewable electricity for production, but efficiency and scalability remain issues.
  2. Carbon Emissions
    • eParking: Zero emissions during energy generation, supporting global decarbonization goals.
    • Gas Power Plants: Emit significant CO2 and air pollutants, contributing to climate change.
    • Nuclear Power Plants: Low operational emissions but high embodied carbon from construction and waste management.
    • Hydrogen Power: Production is often energy-intensive, with green hydrogen solutions not yet widely available.
  3. Fast Installation
    • eParking: Can be deployed in months by retrofitting existing parking lots, offering a rapid energy solution.
    • Gas Power Plants: Require 3–5 years for design, permitting, and construction.
    • Nuclear Power Plants: Typically take 10–15 years to construct due to regulatory and safety requirements.
    • Hydrogen Power: Infrastructure for large-scale production, storage, and distribution takes years to establish.
  4. Scalability and Deployment
    • eParking: Modular and scalable, easily expanded across urban areas without additional land acquisition.
    • Gas and Nuclear Power Plants: Centralized infrastructure requires significant land and investment.
    • Hydrogen Power: Scaling production and distribution networks is costly and complex.
  5. Localized Energy Generation
    • eParking: Generates energy where it is needed, reducing transmission losses and bolstering grid resilience.
    • Gas, Nuclear, and Hydrogen: Centralized facilities rely on extensive energy transmission networks, increasing losses and costs.
  6. Energy Storage Integration
    • eParking: Incorporates advanced batteries for storing excess solar energy, ensuring 24/7 reliability.
    • Gas Power Plants: Operate based on fuel availability; storage is not typically integrated.
    • Nuclear Power Plants: Constant operation lacks flexibility for energy storage.
    • Hydrogen Power: Hydrogen storage is viable but costly and energy-intensive.
  7. Cost Efficiency
    • eParking: Declining solar technology costs and use of existing parking spaces make it highly economical.
    • Gas Power Plants: High operational costs due to fluctuating fuel prices.
    • Nuclear Power Plants: Extremely expensive upfront, with long payback periods.
    • Hydrogen Power: Production, storage, and distribution remain costly.
  8. Multi-Functionality
    • eParking: Provides shading for vehicles, EV charging, heat recovery, and supports edge computing, maximizing utility.
    • Gas, Nuclear, and Hydrogen: Serve only as energy sources with no additional functionality.
  9. Environmental and Community Impact
    • eParking: Minimal disruption by utilizing existing infrastructure, with community benefits like improved air quality.
    • Gas Power Plants: Contribute to air and water pollution with significant health and environmental risks.
    • Nuclear Power Plants: Pose risks of catastrophic failure and long-term waste issues.
    • Hydrogen Power: Requires significant resources and poses safety concerns during storage and transport.
  10. Support for Edge Computing
  • eParking: Enables integration of edge computing systems, processing data locally and utilizing recovered heat for home or building heating.
  • Gas, Nuclear, and Hydrogen: Lack direct support for localized computing or heat recovery.


eParking offers a fast, scalable, and eco-friendly alternative to traditional energy solutions, with the ability to meet AI infrastructure demands sustainably while providing additional community and environmental benefits. Its rapid installation timeline—measured in months—outpaces other solutions that require years to deploy, making it a critical tool for addressing the urgent energy needs of AI and smart city technologies.

What Makes eParking Different from other carports ?

eParking is more than a solar carport; it is a scalable, sustainable energy ecosystem tailored to modern technological demands. Its combination of solar energy generation, advanced storage, and integrated edge computing makes it an ideal solution for powering AI-driven applications such as traffic management, environmental monitoring, and autonomous systems in smart cities.

By leveraging eParking as a renewable power source, the challenge of AI’s growing energy demand can be addressed without compromising the environment, paving the way for a sustainable and tech-driven future.