Visual Capitalist June 4, 2024
Training advanced AI models like OpenAI’s ChatGPT and Google’s Gemini Ultra requires millions of dollars, with costs escalating rapidly.
As computational demands increase, the expenses for the computing power necessary to train them are soaring. In response, AI companies are rethinking how they train generative AI systems. In many cases, these include strategies to reduce computational costs given current growth trajectories.
This graphic shows the surge in training costs for advanced AI models, based on analysis from Stanford University’s 2024 Artificial Intelligence Index Report.
How Training Cost is Determined
The AI Index collaborated with research firm Epoch AI to estimate AI model training costs, which were based on cloud compute rental prices. Key factors that were analyzed include the model’s...
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