Green AI — A Sustainable Approach to Artificial Intelligence

Training GPT-3: ~502 tons of CO2. GPT-4 estimated at 10x more. The AI boom has an environmental cost. Green AI seeks answers.

Strategies¶

• Model selection: Do you need GPT-4? Or is Mistral 7B at 1/100th the energy sufficient?
• Quantization: INT8 = ~4x less energy
• Distillation: 90% quality at 10% compute
• Caching: Zero inference cost for cached responses

Measurement¶

CodeCarbon (Python library), ML CO2 Impact Calculator, cloud sustainability dashboards.

Our Rules¶

• Always the smallest model that meets the task
• Production inference always quantized
• Caching for recurring patterns
• Carbon footprint in quarterly reviews

Efficient AI Is Green AI¶

Smaller model, better prompt, smart caching — saves energy and money.