FSISUS01: How do you select the most sustainable Regions in your area?
The choice of Region for your workload significantly affects its KPIs, including performance, cost, and carbon footprint. To effectively improve these KPIs, you should choose Regions for your workloads based on both business requirements and sustainability goals.
FSISUS01-BP01 Select a Region with lower environmental impact that meets your business and compliance considerations
Prescriptive guidance
The following guidance is provided to aid your selection of most sustainable Regions in your area:
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Shortlist potential Regions based on the following topics:
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Data security and privacy issues
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Regulatory compliance requirements
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The operational efficiency of your workloads
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Local data sovereignty concerns (see FSISUS02)
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A number of services and features that optimize sustainability
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Select Regions by market-based or location-based methods in line with your financial services industry's internal relevant sustainability guidelines that are used to track and to compare your organization's year-to-year emissions.
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Wherever possible, choose a Region that provides better than 95% renewable energy, using the market-based method and low grid carbon intensity, as well as using a typical location-based method.
Generative AI considerations
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Select Regions with lower carbon intensity for generative AI model training and inference workloads.
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Consider AWS Regions that offer specialized generative AI instances with improved performance per watt.
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Evaluate Region-specific availability of managed generative AI services like Amazon Bedrock to reduce infrastructure overhead.
