- Last updated August 5, 2024
- In AI News
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 yields a 98% reduction in carbon emissions compared to on-premises data centres.
The study found that an effective way to minimise the environmental footprint of leveraging Artificial Intelligence is by moving IT workloads from on-premises infrastructure to cloud data centres in India and around the globe.
Accenture estimates that AWS’s global infrastructure is up to 4.1 times more efficient than on-premises. For Indian organisations, the total potential carbon reduction opportunity for AI workloads optimised on AWS is up to 99% compared to on-premises data centres.
This is credited to AWS’s utilisation of more efficient hardware (32%), improvements in power and cooling efficiency (35%), and additional carbon-free energy procurement (31%).
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