⚡ AI Data Centers & Water Usage — ORVIWO Tactical Summary

Engineered for leaders building next-generation AI infrastructure.

🔥 1. Why AI Data Centers Consume So Much Water

AI accelerates heat output dramatically. Cooling becomes the bottleneck.

Primary water drivers

• Server heat density — AI GPUs produce extreme thermal loads.

• Evaporative cooling — 75–90% of global data centers rely on it.

• Non-recycled evaporation — most water is lost as steam.

• AI workload intensity — continuous training/inference increases heat.

Current industry numbers

• A medium data center: 110 million gallons/year.

• Hyperscale center: up to 5 million gallons/day.

• AI-driven expansion: 1.7 trillion gallons globally by 2027.

• One 100MW facility: ~550,000 gallons/day.

This is equivalent to the daily consumption of a small town.

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🌍 2. Strategic Impacts & Risks

Local water strain

• Rural towns and agricultural communities often bear the cost.

• Documented cases: U.S. Midwest, Chile, Uruguay, Ireland, Spain.

Competition for limited water resources

Data centers vs:

• Households

• Agriculture

• Municipal infrastructure

Low transparency

Most companies do not publicly disclose real water usage metrics.

Regulatory pressure rising

Expect:

• Mandatory reporting

• Water-efficiency requirements

• Impact studies before construction

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🧊 3. The Future: Low-Water & Water-Free Cooling

Next-generation cooling technologies are emerging to reduce or eliminate water consumption altogether.

1. Liquid immersion cooling

• GPU racks submerged in coolant

• Up to 90% water reduction

2. Direct-to-chip liquid cooling

• Heat removed via insulated liquid loops

• Minimal to zero evaporation

3. Dry cooling towers

• Air-based cooling

• Consumes near-zero water, at a slight energy tradeoff

4. Ocean-side, geothermal, or underground cooling

• Uses natural environmental cooling

• Reduces both water use and energy consumption

5. Circular water systems

• Greywater reuse

• Municipal reclaimed water

• Closed-loop filtration

• On-site water recycling

This is the new frontline of sustainable AI infrastructure — and where ORVIWO positions itself.

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🔧 4. Tactical Recommendations for ORVIWO AI-Ready Data Centers

To operate responsibly in Puerto Rico, the Caribbean, and LATAM, AI data centers must adopt tactical water-efficiency architecture from day one.

ORVIWO Water-Efficient Blueprint

1. AI-Immersion Cooling Zones

Purpose-built immersion pods for GPU clusters, reducing water demand dramatically.

2. Direct-to-Chip Loops

Balanced cooling for mixed CPU/GPU environments.

3. Dry Cooling + Liquid Hybrid

Designed specifically for tropical climates like Puerto Rico.

4. Greywater Integration

In partnership with PRASA/AAA to use recycled municipal water.

5. Digital Twin Water Simulation

Predicts consumption, seasonal strain, and optimal operating schedules.

6. Water Usage Dashboards

Real-time transparency for ESG, compliance, and customer trust.

7. Heat Reuse Architecture

Redirects heat for building warmth or industrial processes — turning waste into utility.

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Why This Matters for Puerto Rico + LATAM

Water scarcity is already a high-risk factor across island and tropical economies.

AI growth is accelerating.

Infrastructure is aging.

If AI expansion continues without tactical water planning, it will pressure:

• local water reserves

• agriculture

• communities

• emergency systems

ORVIWO’s mission is clear:

Build AI-ready data centers that deliver performance without harming the regions we serve.

This is how Puerto Rico and LATAM can lead the next wave of AI — responsibly.

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🧠 5. ORVIWO Leadership Summary

AI is not just an energy challenge — it’s a water challenge.

Hyperscale data centers can consume millions of gallons per day, often exceeding the usage of entire towns. And as AI adoption accelerates, water usage may reach 1.7 trillion gallons globally by 2027.

For Puerto Rico, the Caribbean, and LATAM — regions already managing water and grid constraints — the next generation of AI infrastructure must be:

• water-efficient

• regenerative

• transparent

• tactically engineered

This is where ORVIWO will lead.

The future belongs to data centers that can deliver AI at scale— without draining the resources communities depend on.

Cooling innovation is no longer optional.

It’s mission-critical.

— Jan Gabriel Ortega Suárez

Founder & CEO, ORVIWO LLC

Tactical IT & Smart Security — Engineered in Puerto Rico