Energy foo

General

Who’s to blame - https://www.youtube.com/watch?v=ipVxxxqwBQw

https://ourworldindata.org/co2-emissions

https://ourworldindata.org/emissions-by-sector

World electricity final consumption by sector, 1974-2018, https://www.iea.org/data-and-statistics/charts/world-electricity-final-consumption-by-sector-1974-2018

Cloud

Beyond the Energy Techlash: The Real Climate Impacts of Information Technology, https://itif.org/publications/2020/07/06/beyond-energy-techlash-real-climate-impacts-information-technology

The dark side of cloud computing: soaring carbon emissions, https://www.theguardian.com/environment/2010/apr/30/cloud-computing-carbon-emissions

Your Data Is Dirty: The Carbon Price of Cloud Computing, https://time.com/46777/your-data-is-dirty-the-carbon-price-of-cloud-computing/

Survey on Energy Consumption in Cloud Computing, https://www.ijert.org/survey-on-energy-consumption-in-cloud-computing

How Much Energy Do Data Centers Really Use?, https://energyinnovation.org/2020/03/17/how-much-energy-do-data-centers-really-use/

Cloud Computing Is Not the Energy Hog That Had Been Feared, https://www.nytimes.com/2020/02/27/technology/cloud-computing-energy-usage.html

Click Clean:

  • https://www.greenpeace.org/usa/ending-the-climate-crisis/click-clean/
  • http://www.clickclean.org

Blockchain and NFTs

everyone knows about energy use in blockchain and more recently NFTs. i would like to emphasize another point in case, deep neural networks and large scale state of the art machine learning models. a single training run of GPT-2 model produces 90kg CO2 emission equivalent, a fully tuned and optimized model involves many single runs and in summary produces 500000kg of CO2 equivalent. the performance of these models is good, but we may ask about the cost at any time.

  • https://www.nytimes.com/2021/04/13/climate/nft-climate-change.html
  • https://memoakten.medium.com/the-unreasonable-ecological-cost-of-cryptoart-2221d3eb2053
  • https://www.cell.com/joule/fulltext/S2542-4351(21)00083-0
  • https://cbeci.org/cbeci/comparisons
  • https://www.nature.com/articles/s41467-021-22256-3

Deep learning

Then also #energy in #DeepLearning #ArtificialIntelligence

  • Global Emissions - https://www.c2es.org/content/international-emissions/
  • The carbon footprint of AI and cloud computing - https://geographical.co.uk/nature/energy/item/3876-the-carbon-footprint-of-ai-and-cloud-computing
  • Energy and Policy Considerations for Deep Learning in NLP - https://arxiv.org/abs/1906.02243v1
  • https://medium.com/teads-engineering/evaluating-the-carbon-footprint-of-a-software-platform-hosted-in-the-cloud-e716e14e060c
  • https://www.innoq.com/en/blog/cloud-computing-and-carbon-footprint/
  • https://www.nature.com/articles/s41558-020-0837-6

Comments

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