DAI - Decentralized Artificial Intelligence infrastructure
DAI = a new type of AI infrastructure where:
Coordination and connection to grids in Europe takes 2-10 years, so AI capacities cannot keep up with demand.
By 2030, approximately 75% of corporate data will be created and processed outside traditional data centers, closer to the user (edge).
The generative AI market is projected to grow to approximately 100 billion USD by 2030.
Cyberattacks and aging infrastructure create a risk of cascading power outages, rendering mobile communications, the Internet, and digital services unavailable.
A scalable, modular, and energy-efficient ecosystem:
All sensitive workflows can run locally, with no mandatory cloud dependency.
Combines AI processing with content creation, publishing, and customer communication tools.
Designed for minimal energy use, making it practical for continuous and solar-powered operation.
Can operate fully on its own or connect to the DAI network for additional compute and distributed intelligence.
Provides private AI support for daily tasks such as document search, summarization, drafting, and Q&A.
Generates posts, captions, reels, and carousels, and can automatically publish them on schedule.
Responds to comments and messages using a knowledge base, and can support consultations and sales using scripts.
Processes documents, video, and sensor data locally without sending sensitive information to the cloud.
The hub can run on solar energy, which is primarily used for "digital" tasks, while surplus energy is stored in batteries or directed to the EV charging port.
Local data processing center with Edge AI:
Processing internal documents, customer support, information retrieval, creative solutions, research without transferring data to third parties.
Monitoring traffic, parking spaces, environmental conditions, analyzing video streams locally and in real time, with full GDPR compliance, without sending to the cloud.
Communication and data access even during power outages (blackouts) or without mobile internet.
Flexible load management with AI, stored energy can be directed to charging electric vehicles or other priority loads
Has a description of its capabilities
Exchanges load metrics
Automatically routes requests
Can split task flow among multiple nodes
How does it work?
Monthly fee for services
Payment according to actual usage
Ready-made solutions at a fixed price.
Long-term agreements with government agencies
Revenue from EV charging stations
Renting edge computing for third parties
Each node/cluster pays for itself through the revenue it generates.
Competitive prices result from energy efficiency / distributed task execution
Part of AI tasks are performed during periods of excess solar generation
Transparent accounting of task execution and reward distribution among network nodes.
Encrypted and distributed data storage
Focus on adapting models to user needs, no technical skills required
Surplus solar energy is converted into valuable digital services
Training and deployment of a proprietary decentralized LLM-model adapted to the language, laws, and data of the region.
Local infrastructure provides full control over data, resilience to external interference, and autonomy from global providers.
Easily implemented without significant initial investments, does not require laying power lines/upgrading substations.
Combines decarbonization goals with digital transformation, creating synergy between environmental and technological initiatives of the EU.
Backup channel for communication/processing/caching/storage during crises (poor internet, provider failures, blackouts).
Minimal dependence on network prices/risks; during blackouts, hubs become local "islands" of power for critical needs.
A cluster is a profitable asset, not just a budget expense: digital services + energy/charging generate funds for the budget/development fund.
Innovation
Installing such a cluster positions the community/region among innovators and technological pioneers, enhancing prestige and recognition.
DAI-Decentralized AI