In this #InfoQ article, Lakshmithejaswi Narasannagari explores innovative ways to track carbon footprints throughout the ML systems lifecycle and shares best practices for sustainable model development and deployment.
Dive in: https://bit.ly/3ZdnjL8
In this #InfoQ article, Lakshmithejaswi Narasannagari explores innovative ways to track carbon footprints throughout the ML systems lifecycle and shares best practices for sustainable model development and deployment.
Dive in: https://bit.ly/3ZdnjL8
https://www.europesays.com/uk/57478/ InfoQ Software Architecture and Design Trends Report – 2025 #.NET #Agents #Architecture #Architecture&Design #ArchitectureTrends2025 #ArtificialIntelligence #Arts #ArtsAndDesign #CellBasedArchitecture #dapr #Design #EmergingTechnologies #Entertainment #GreenSoftware #InfoQ #InfoQTrendsReport #InfoQTrendsReport2025 #LargeLanguageModels #Microsoft #RetrievalAugmentedGeneration #SociotechnicalArchitecture #SustainableComputing #UK #UnitedKingdom
Just learned about Kepler. Kepler is an interesting project to measure your energy consumption in a Kubernetes cluster:
AI model developers should recognize that while training their models consumes vast amounts of resources, they can give back by sharing value with the communities that surround the infrastructure producing these resources.
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AI model developers should work toward using generalized computing architectures rather than specialized ones.
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AI model developers should schedule training their data when there is an abundance of renewable energy in the region of their infrastructure.
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AI model developers should use shared infrastructure for training to promote fair competition and innovation.
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Data set providers should label each of the data sets they offer with the total environmental impact as well as local value creation.
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Government should facilitate the environmental impact measurement of AI models.
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Trending topics from software development, Latest trends from software development or areas such as #microservices, #distributedcomputing, #sustainablecomputing, #Web3, #quantumcomputing. Example of open source #research #collaboration are welcome too!
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Government tenders should require transparency on environmental impact and local value creation.
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Governments should develop reporting standards on the environmental impact of AI models.
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Governments should invest in best practice development and research on how to reduce environmental impacts of AI models and strengthen its societal benefits.
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Facilitate or create buyers groups for AI-related ICT equipment.
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Governments should form strategic partnerships to establish the digital resource marketplace and grow it across different geographical regions.
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Regulation should be used to ensure that both the environmental impact and local value creation of AI models must be disclosed.
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Demand for digital resources should be fulfilled by infrastructure providers who are transparent, have sustainable operations, and create local value.
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Avoid building new infrastructure for AI – Create an open marketplace instead.
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If you want to save the environment, stop using graphical apps and revert to the command line.
#SustainableComputing