CORDIS Project
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This project aims to reduce the energy consumption and carbon footprint of generative artificial intelligence systems by developing more efficient algorithms for matrix multiplication. The proposed solutions can be implemented on existing hardware, potentially saving 40-50% energy while maintaining performance.
Executive summary:Generative AI systems, such as chatGPT, recently passed the Turing test, forever transforming human-machine interaction.
These systems provide giant productivity leaps across many sectors.
However, their energy requirements increase nine-fold annually and their abundance grows at exponential rate.
The resulting carbon footprint becomes significant. IT giants such as Google, Nvidia, Microsoft, and Amazon, as well as many mid-sized companies, have committed to reduce their carbon…
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