Climate Impact Of AI: Difference between revisions

Smart hyperparameter selection

 

Data centres accounted for almost 1% of global energy demand in 2019<ref>{{Cite web|url=https://www.iea.org/reports/data-centres-and-data-transmission-networks|title=Data Centres and Data Transmission Networks – Analysis|website=IEA|language=en-GB|access-date=2021-03-27}}</ref>, at around 200TWh, and while demand increases, efficiency gains mean this may stay flat for now<ref>{{Cite journal|last=Masanet|first=Eric|last2=Shehabi|first2=Arman|last3=Lei|first3=Nuoa|last4=Smith|first4=Sarah|last5=Koomey|first5=Jonathan|date=2020-02-28|title=Recalibrating global data center energy-use estimates|url=https://science.sciencemag.org/content/367/6481/984|journal=Science|language=en|volume=367|issue=6481|pages=984–986|doi=10.1126/science.aba3758|issn=0036-8075|pmid=32108103}}</ref>. AI's current total impact can be estimated as a fraction of this, though growing extremely quickly. AI may itself offer efficiency gains for data centres by optimising control systems<ref>{{Cite web|url=https://blog.google/outreach-initiatives/environment/deepmind-ai-reduces-energy-used-for/|title=DeepMind AI reduces energy used for cooling Google data centers by 40%|date=2016-07-20|website=Google|language=en|access-date=2021-03-27}}</ref>.

 

Estimates of electricity use of AI

 

The major cloud computing providers, Amazon, Google and Microsoft, have varying targets and carbon intensities for their services.

 

 

Microsoft, carbon negative by 2030<ref>{{Cite web|url=https://blogs.microsoft.com/blog/2020/01/16/microsoft-will-be-carbon-negative-by-2030/|title=Microsoft will be carbon negative by 2030|date=2020-01-16|website=The Official Microsoft Blog|language=en-US|access-date=2021-03-27}}</ref>.

== Processing Units ==

GPUs