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Reducing Carbon Footprint for Generative AI

CORDIS · observation · Publication date unknown

Reducing Carbon Footprint for Generative AI 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 footprint. The EU is strengthening regulation for emission reductions. But the new generative AI trend jeopardizes emission reduction commitments. Most power consumption of generative AI is spent on matrix multiplication. Our novel solutions reduce energy consumption and carbon footprint by replacing current matrix multiplication algorithms with more efficient ones. These ca

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recordType

award

status

SIGNED

region

EU

value

150000

unit

EUR