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Indian firms can cut AI carbon emission by 99% with AWS: Amazon-Accenture study
A study by Amazon Web Services (AWS) and Accenture found that AWS's additional carbon-free energy procurement in India contributes 31% in carbon emissions reduction for compute-heavy workloads and 44% for storage-heavy workloads. This is particularly important given the rising adoption of AI, said
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AWS Can Help Indian Organizations Cut AI Workload Carbon Emissions by Up to 99%, Study Finds
"Considering 85% of global IT spend by organisations remains on-premises, a carbon reduction of up to 99% for AI workloads optimised on AWS in India is a meaningful sustainability opportunity for Indian organisations," said Jenna Leiner, Head of Environment Social Governance (ESG) and External
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AWS Data Centres Cut Carbon Emissions by 98% for AI Workloads Compared to On-Premises Solutions: Study
Accenture estimates that AWS's global infrastructure is up to 4.1 times more efficient than on-premises. A new study commissioned by Amazon Web Services (AWS) and completed by Accenture found that utilizing AWS data centres for compute-heavy, or AI, workloads in India yields a 98% reduction in
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AWS can help Indian organisations reduce carbon emissions of AI workloads
New study estimates workloads optimised on Amazon Web Services (AWS) can help organisations in India reduce associated carbon emissions by up to 99% compared to on-premises A new study commissioned by Amazon Web Services (AWS) and completed by Accenture shows that an effective way to minimise the
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A new study by Amazon Web Services (AWS), Accenture, and Intel highlights the potential for significant reduction in carbon emissions from AI workloads in India. The research demonstrates how cloud computing can make AI more environmentally friendly.

A groundbreaking study conducted by Amazon Web Services (AWS), Accenture, and Intel has revealed that Indian organizations can dramatically reduce their carbon footprint associated with artificial intelligence (AI) workloads by up to 99% when utilizing AWS data centers
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. This significant finding underscores the potential for cloud computing to make AI more sustainable and environmentally friendly.The study, which focused on the Indian market, compared the carbon emissions of AI workloads run on AWS cloud infrastructure to those run on traditional on-premises data centers. The results were striking, showing that AWS data centers can reduce carbon emissions by up to 98% for AI workloads compared to on-premises solutions
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. This substantial difference highlights the efficiency and sustainability advantages of cloud-based AI operations.Several factors contribute to the significant reduction in carbon emissions when using AWS for AI workloads:
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.The study examined various AI workloads, including natural language processing, image and video analysis, and speech recognition. Across these different applications, the potential for carbon emission reduction remained consistently high, demonstrating the broad applicability of cloud-based solutions for sustainable AI development
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For Indian businesses and institutions looking to leverage AI technologies, this study presents a compelling case for adopting cloud-based solutions. By transitioning AI workloads to AWS, organizations can not only reduce their environmental impact but also potentially benefit from the scalability and cost-effectiveness of cloud computing.
As India continues to emerge as a global hub for AI innovation and adoption, the findings of this study could play a crucial role in shaping the country's approach to sustainable technology development. The potential for such significant carbon emission reductions aligns well with India's broader goals for sustainable development and climate change mitigation.
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03 Dec 2024•Technology

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