A recent study commissioned by Amazon Web Services (AWS) revealed that computing-intensive or artificial intelligence (AI) workloads utilizing AWS's data centers result in a staggering 98% reduction in carbon emissions compared to local data centers.
This research, conducted by Accenture, indicates that migrating IT workloads from on-premises infrastructure to cloud data centers is an effective way to reduce environmental footprints, both in India and globally.
The study mentioned that AWS's global infrastructure is 4.1 times more efficient than local data centers. For organizations in India, the total potential carbon reduction opportunity for AI workloads optimized on AWS reaches 99%. This is due to AWS's improvements in hardware utilization (32%), power and cooling efficiency (35%), and procurement of more carbon-free energy (31%).
Additionally, by leveraging silicon chips designed for specific purposes, the total carbon reduction potential for AI workloads in Indian organizations can be further enhanced to 99% on AWS. Jenna Leiner, AWS's Global ESG and External Engagement Lead, stated, "Considering that 85% of global IT spending still resides on-premises, achieving up to 99% carbon reduction for AI workloads on AWS presents a significant sustainability opportunity for Indian organizations."
As India advances towards its goal of a $1 trillion digital economy, attracting digital infrastructure investment, driving sustainable innovation, and reducing IT-related carbon emissions will be crucial.
Key Points:
🌱 The study shows a 98% reduction in carbon emissions for AI workloads in AWS data centers, offering new opportunities for green transformation.
💻 AWS's global infrastructure is 4.1 times more efficient than local data centers, allowing Indian organizations to achieve 99% carbon reduction for optimized AI workloads on AWS.
🌍 With the development of the digital economy, reducing IT carbon emissions is a critical component for India to achieve its net-zero emissions goal.