Observed Signal · Dec 5, 2023 · Research Study · Source: Trending Topics · Impact: 2/5 · Sentiment: Negative
AI Image Generation Matches Smartphone Charge Energy
Researchers from AI startup Hugging Face and Carnegie Mellon University published a study quantifying the energy consumption of generative AI models. They found that generating a single image with a powerful model can require almost as much energy as fully charging a smartphone, with the least efficient image model consuming 11.49 kWh for 1,000 images. The study tested 88 models using an NVIDIA A100 GPU hosted at Amazon Web Services and used a custom tool called Code Carbon to measure power draw. Text generation was far less energy-intensive: 1,000 inferences used only 16 percent of a smartphone charge. The authors also noted that generative multi-purpose architectures are orders of magnitude more energy-hungry than task-specific systems. They compared AI text generation's CO2 footprint with a Google search, finding it roughly twice as CO2-intensive. The findings raise efficiency and sustainability questions for AI providers such as OpenAI and Google.
Quantifies energy and CO2 costs of AI image generation, relevant to AI-driven creative automation and sustainability discussions in AdTech, but it is not an immediate market shift.
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Key Takeaways & Evidence Grounding
- Researchers from Hugging Face and Carnegie Mellon University found that generating one AI image can require as much energy as fully charging a smartphone.
- The least efficient image generation model tested consumed 11.49 kWh for 1,000 inferences.
- The study benchmarked 88 AI models using an NVIDIA A100 GPU hosted at Amazon Web Services and the Code Carbon tool.
- AI text generation was less energy-intensive, with 1,000 inferences using 16 percent of a full smartphone charge.
- AI text generation was estimated to be roughly twice as CO2-intensive as a Google search.
Connected Companies & Entities
5 Entities mapped“AI startup Hugging Face, together with Carnegie Mellon University, conducted the study....”
“The GPU was hosted at Amazon Web Services during the study....”
“The models were tested with the help of an NVIDIA GPU (A100-SXM4-80GB)....”
“AI providers such as OpenAI and Google face questions about model efficiency and renewable energy....”
“Google is mentioned as an AI provider and as the basis for comparing a search query's CO2 footprint....”
Ontology Mapping & Concepts
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