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Artificial intelligence is experiencing explosive growth. According to recent industry reports, the demand for GPU and CPU computing power has grown by 400% in the last three years alone. This unprecedented surge is driven by the expansion of large language models, machine learning training, and advanced AI research.

Traditional data centers are struggling to keep pace. Building new infrastructure is expensive, time-consuming, and environmentally costly. This is where distributed computing networks like BEEON come in.

The State of AI Computing Today

The current landscape is dominated by a few major cloud providers (AWS, Google, Microsoft Azure). However, this centralization creates bottlenecks, high costs, and raises concerns about data sovereignty. Organizations are increasingly looking for alternatives that are:

• More cost-effective
• Geographically distributed
• Privacy-focused
• Environmentally sustainable

BEEON addresses all these concerns by leveraging idle computing resources globally. By distributing tasks across millions of PCs running BEEON, we create a resilient, scalable, and sustainable computing network.

The Future of AI Infrastructure

We believe the future of computing is distributed, democratic, and decentralized. As AI continues to transform society, the infrastructure supporting it must evolve. BEEON is pioneering this new paradigm—making advanced computing accessible, affordable, and sustainable for everyone.

The world is facing a critical infrastructure problem. Global demand for computing power is growing faster than data centers can be built. Construction timelines for modern data centers span 18-36 months. Meanwhile, demand grows every quarter.

The Scale of the Problem

Tech giants like Microsoft, Google, and Meta are investing $100+ billion annually in data center expansion. Yet, despite these massive investments, shortage remains. AI training alone requires exaflops of computational power—a number that's doubling roughly every 2-3 years.

Why Building New Data Centers is Slow and Expensive

• Land acquisition: Finding suitable locations with adequate cooling, power, and connectivity takes months
• Regulatory approval: Environmental reviews and permits can delay projects by a year or more
• Construction: Modern data centers require specialized HVAC, security, and networking infrastructure
• Power infrastructure: Existing power grids often can't support new facilities
• Environmental impact: New regulations limit water usage for cooling, forcing expensive redesigns

The BEEON Solution

Instead of building massive new facilities, we utilize existing consumer hardware. Every PC with BEEON contributes computing power immediately, with zero construction delays. This creates a flexible, instantly deployable computing network that scales with demand.

The European Union has set an ambitious goal: achieve digital sovereignty and technological independence by 2030. This includes a crucial target—ensure that critical AI computing infrastructure remains within EU borders and operates under European regulations.

The Current Reality

Today, Europe relies heavily on American cloud providers for AI and computing services. This dependency creates strategic vulnerabilities:

• Data subject to US regulations and potential access by foreign governments
• High costs and limited negotiating power
• Compliance challenges with GDPR and emerging EU AI regulations
• Economic benefits flowing to non-European companies

EU's Sustainability Mandate

By 2030, the EU requires all critical infrastructure to operate sustainably and with net-zero carbon emissions. This means new data centers must use renewable energy and be extremely efficient. Traditional centralized data centers struggle to meet these targets.

BEEON's Role in EU Independence

BEEON enables European digital sovereignty by:

• Keeping all data within EU borders
• Operating under full GDPR compliance
• Using existing hardware to eliminate wasteful new construction
• Leveraging renewable energy sources across Europe
• Creating an EU-owned computing infrastructure

Computing accounts for approximately 4% of global carbon emissions—more than aviation. Most of this comes from massive data centers that operate continuously at full capacity, regardless of actual demand.

The Data Center Problem

Traditional data centers typically run at 20-40% utilization, yet consume power as if they're running at full capacity. Cooling systems run constantly, generating massive waste heat. This is fundamentally inefficient.

Why BEEON is Sustainable

BEEON's approach is fundamentally different:

• 50% CPU Cap: We never exceed 50% CPU usage, preventing hardware degradation and excessive power consumption
• Uses Existing Hardware: No new manufacturing, no new e-waste. We leverage PCs that already exist
• Smart Scheduling: Tasks are distributed based on electricity rates and renewable energy availability
• Global Load Balancing: Work is distributed across time zones, never overloading any region
• User Control: Participants can schedule BEEON during times when they use renewable energy

The Numbers

A single PC running BEEON at 50% capacity for 12 hours daily consumes approximately 2-3 kWh. This costs €0.30-0.45 daily while generating €1.30-1.65 in value. The efficiency gains are enormous.

One of BEEON's most innovative features is our global load-balancing system. This ensures that computing power is always available, no region is overloaded, and the network operates continuously across all time zones.

How Global Distribution Works

BEEON operates across three major regions: Europe, Asia, and the Americas. Our intelligent scheduling system ensures optimal distribution:

• European Day: When Europeans are at work, tasks are distributed to Asia-Pacific and Americas (nighttime)
• Asian Day: When Asian markets wake up, European and American participants pick up the load
• American Day: European participants continue in daytime hours while Americas handle urgent tasks

Benefits of Global Distribution

This approach creates multiple advantages:

• 24/7 Availability: Clients never face idle time or waiting periods
• Load Balancing: No single region is ever overloaded
• Hardware Longevity: Distributed load means less stress on individual PCs
• Cost Efficiency: Leverage time-zone differences to optimize energy costs
• Resilience: If one region experiences issues, others compensate

The Technical Implementation

Our system uses predictive algorithms to forecast demand and pre-position tasks strategically. Machine learning models analyze historical patterns and real-time demand to optimize distribution. This ensures maximum efficiency and participant satisfaction.

By thinking globally but acting locally, BEEON creates a computing network that's resilient, efficient, and sustainable.