ComputingPower – Lechuck Park

Key Development Stages

1. Internet Era

10 TWh (terawatt-hours) power consumption

2 PB/day (petabytes/day) data processing

1K DC (1,000 data centers)

PUE 3.0 (Power Usage Effectiveness)

2. Mobile & Cloud Era

200 TWh (20x increase)

20,000 PB/day (10,000x increase)

4K DC (4x increase)

PUE 1.8 (improved efficiency)

3. AI/LLM (Transformer) Era – “Now Here?” point

400+ TWh (40x additional increase)

1,000,000,000 PB/day = 1 billion PB/day (500,000x increase)

12K DC (12x increase)

PUE 1.4 (further improved efficiency)

Summary

The chart demonstrates unprecedented exponential growth in data processing and power consumption driven by AI and Large Language Models. While data center efficiency (PUE) has improved significantly, the sheer scale of computational demands has skyrocketed. This visualization emphasizes the massive infrastructure requirements that modern AI systems necessitate.

#AI #LLM #DataCenter #CloudComputing #MachineLearning #ArtificialIntelligence #BigData #Transformer #DeepLearning #AIInfrastructure #TechTrends #DigitalTransformation #ComputingPower #DataProcessing #EnergyEfficiency

This infographic illustrates how AI’s exponential growth triggers a cascading exponential expansion across all interconnected domains.

Core Concept: Exponential Chain Reaction

Top Process Chain: AI’s exponential growth creates proportionally exponential demands at each stage:

AI (LLM) ≈ Data ≈ Computing ≈ Power ≈ Cooling

The “≈” symbol indicates that each element grows exponentially in proportion to the others. When AI doubles, the required data, computing, power, and cooling all scale proportionally.

Evidence of Exponential Growth Across Domains

1. AI Networking & Global Data Generation (Top Left)

Exponential increase beginning in the 2010s
Vertical surge post-2020

2. Data Center Electricity Demand (Center Left)

Sharp increase projected between 2026-2030
Orange (AI workloads) overwhelms blue (traditional workloads)
AI is the primary driver of total power demand growth

3. Power Production Capacity (Center Right)

2005-2030 trends across various energy sources
Power generation must scale alongside AI demand

4. AI Computing Usage (Right)

Most dramatic exponential growth
Modern AI era begins in 2012
Doubling every 6 months (extremely rapid exponential growth)
Over 300,000x increase since 2012
Three exponential growth phases shown (1e+0, 1e+2, 1e+4, 1e+6)

Key Message

This infographic demonstrates that AI development is not an isolated phenomenon but triggers exponential evolution across the entire ecosystem:

As AI models advance → Data requirements grow exponentially
As data increases → Computing power needs scale exponentially
As computing expands → Power consumption rises exponentially
As power consumption grows → Cooling systems must expand exponentially

All elements are tightly interconnected, creating a ‘cascading exponential effect’ where exponential growth in one domain simultaneously triggers exponential development and demand across all other domains.

#ArtificialIntelligence #ExponentialGrowth #AIInfrastructure #DataCenters #ComputingPower #EnergyDemand #TechScaling #AIRevolution #DigitalTransformation #Sustainability #TechInfrastructure #MachineLearning #LLM #DataScience #FutureOfAI #TechTrends #TechnologyEvolution

With Claude

Tag: ComputingPower

Big Changes with AI