CS5720 - Week 13
Slide 251 of 260
Environmental Impact of Deep Learning
The Hidden Cost of AI
⚠️ Climate Alert:
Training a single large AI model can emit as much CO₂ as five cars over their entire lifetimes, including fuel consumption.
⚡
Energy Consumption
Massive computational requirements driving electricity usage
🏭
Carbon Emissions
Direct and indirect greenhouse gas production
💎
Resource Depletion
Rare earth materials and water consumption
🗑️
Electronic Waste
Hardware lifecycle and disposal challenges
Environmental Metrics
1,287
MWh
GPT-3 Training Energy
626,155
lbs CO₂
Large Model Training
300,000
Liters
Data Center Cooling
35%
Annual Growth
AI Energy Demand
Exponential Growth:
Model sizes are doubling every 3-4 months, leading to exponentially increasing environmental costs.
Carbon Footprint Calculator
Model Parameters (millions)
Training Time (hours)
GPU Type
NVIDIA V100 (300W)
NVIDIA A100 (400W)
NVIDIA H100 (700W)
Google TPU v4 (200W)
Number of GPUs
Data Center Location
US Average
China (Coal Heavy)
France (Nuclear)
Iceland (Renewable)
Calculate Environmental Impact
Estimated Environmental Impact
To Put This in Perspective...
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Prepared by Dr. Gorkem Kar
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