RHETORICAL QUESTION
Agence France-Presse
July 5, 2024
Data centres, particularly those that power artificial intelligence programs, are driving surging demand for electricity © JACQUES DEMARTHON / AFP/File
When Google announced this week that its climate emissions had risen by 48 percent since 2019, it pointed the finger at artificial intelligence.
US tech firms are building vast networks of data centres across the globe and say AI is fuelling the growth, throwing the spotlight on the amount of energy the technology is sucking up and its impact on the environment.
How does AI use electricity?
Every time a user punches a request into a chatbot or generative AI tool, the request is fired off to a data centre.
Even before that stage, developing AI programs known as large language models (LLMs) needs a huge amount of computer power.
All the while, the computers are burning through electricity and the servers get hotter, meaning more electricity to cool them.
The International Energy Agency (IEA) said in a report earlier this year that data centers in general used roughly 40 percent of electricity on computing and 40 percent on cooling.
Why are experts worried?
Big tech firms have been rushing to pack all their products with AI ever since OpenAI launched its ChatGPT bot in late 2022.
Plenty of experts are concerned these new products will cause electricity usage to spike.
This is firstly because AI services require more power than their non-AI analogues.
For example, various studies have shown that each request made to ChatGPT uses roughly 10 times the power of a single Google search.
So if Google switches all search queries to AI -- about nine billion a year -- it could hugely inflate the company's electricity usage.
And most of these new services and products rely on LLMs.
Programming these algorithms is extremely intensive and usually requires high-powered computer chips.
They in turn require more cooling, which uses more electricity.
How much energy does AI use?
Before the era of AI, estimates generally suggested data centres accounted for around one percent of global electricity demand.
The IEA report said data centers, cryptocurrencies and AI combined used 460 TWh of electricity worldwide in 2022, almost two percent of total global electricity demand.
The IEA estimated that the figure could double by 2026 -- the equivalent of Japan's usage figures.
Alex De Vries, a researcher who runs the Digiconomist website, modeled the electricity used by AI alone by focusing on sales projections from the US firm NVIDIA, which has cornered the market in AI-specialized servers.
He concluded in a paper late last year that if NVIDIA's projected sales for 2023 were correct and all those servers ran at full power, they alone could be responsible for between 85.4–134.0 TWh of annual electricity consumption -- an amount similar to Argentina or Sweden.
"The numbers I put in that article were already conservative to begin with because I couldn't include things like cooling requirements," he told AFP.
And he added that adoption of NVIDIA's servers had outstripped last year's projections, so the figures would certainly be higher.
How are data centres coping?
Fabrice Coquio of Digital Realty, a data centre company that leases its services to others, told AFP during a visit to one of its enormous facilities north of Paris in April that AI was going to transform his industry.
"It's going to be exactly the same (as the cloud), maybe a bit more massive in terms of the deployment," he said.
Part of Digital Realty's latest data centre hub in Courneuve -- a gigantic edifice that looks like a football stadium -- will be dedicated to AI.
Coquio explained that normal computing requests could be handled by server racks in rooms with powerful air-conditioning.
But AI racks use much more powerful components, get much hotter and require water to be physically pumped into the equipment, he said.
"For sure, this requires different servers, storage equipment, communication equipment," Coquio said.
Is it sustainable?
The biggest players in AI and data centers -- Amazon, Google and Microsoft -- have been trying to reduce their carbon footprints by buying up vast amounts of renewable energy.
Amazon official Prasad Kalyanaraman told AFP that the firm's data centre division, AWS, was "the largest purchaser of renewable energy in the world today".
AWS is committed to being a net-zero carbon company by 2040. Google and Microsoft have pledged to reach that goal by 2030.
But building new data centres and ramping up usage in existing ones is not going to help with green energy targets.
Google and Microsoft have said in recent reports that their greenhouse gas emissions have been rising in the last few years.
Google flagged a 48 percent rise from 2019 and Microsoft a 30 percent increase from 2020.
Both have squarely blamed AI.
Microsoft President Brad Smith told Bloomberg in May the pledge was a "moonshot" made before the AI "explosion", adding that "the Moon is five times as far away as it was in 2020".
© 2024 AFP
Agence France-Presse
July 5, 2024
Data centres, particularly those that power artificial intelligence programs, are driving surging demand for electricity © JACQUES DEMARTHON / AFP/File
When Google announced this week that its climate emissions had risen by 48 percent since 2019, it pointed the finger at artificial intelligence.
US tech firms are building vast networks of data centres across the globe and say AI is fuelling the growth, throwing the spotlight on the amount of energy the technology is sucking up and its impact on the environment.
How does AI use electricity?
Every time a user punches a request into a chatbot or generative AI tool, the request is fired off to a data centre.
Even before that stage, developing AI programs known as large language models (LLMs) needs a huge amount of computer power.
All the while, the computers are burning through electricity and the servers get hotter, meaning more electricity to cool them.
The International Energy Agency (IEA) said in a report earlier this year that data centers in general used roughly 40 percent of electricity on computing and 40 percent on cooling.
Why are experts worried?
Big tech firms have been rushing to pack all their products with AI ever since OpenAI launched its ChatGPT bot in late 2022.
Plenty of experts are concerned these new products will cause electricity usage to spike.
This is firstly because AI services require more power than their non-AI analogues.
For example, various studies have shown that each request made to ChatGPT uses roughly 10 times the power of a single Google search.
So if Google switches all search queries to AI -- about nine billion a year -- it could hugely inflate the company's electricity usage.
And most of these new services and products rely on LLMs.
Programming these algorithms is extremely intensive and usually requires high-powered computer chips.
They in turn require more cooling, which uses more electricity.
How much energy does AI use?
Before the era of AI, estimates generally suggested data centres accounted for around one percent of global electricity demand.
The IEA report said data centers, cryptocurrencies and AI combined used 460 TWh of electricity worldwide in 2022, almost two percent of total global electricity demand.
The IEA estimated that the figure could double by 2026 -- the equivalent of Japan's usage figures.
Alex De Vries, a researcher who runs the Digiconomist website, modeled the electricity used by AI alone by focusing on sales projections from the US firm NVIDIA, which has cornered the market in AI-specialized servers.
He concluded in a paper late last year that if NVIDIA's projected sales for 2023 were correct and all those servers ran at full power, they alone could be responsible for between 85.4–134.0 TWh of annual electricity consumption -- an amount similar to Argentina or Sweden.
"The numbers I put in that article were already conservative to begin with because I couldn't include things like cooling requirements," he told AFP.
And he added that adoption of NVIDIA's servers had outstripped last year's projections, so the figures would certainly be higher.
How are data centres coping?
Fabrice Coquio of Digital Realty, a data centre company that leases its services to others, told AFP during a visit to one of its enormous facilities north of Paris in April that AI was going to transform his industry.
"It's going to be exactly the same (as the cloud), maybe a bit more massive in terms of the deployment," he said.
Part of Digital Realty's latest data centre hub in Courneuve -- a gigantic edifice that looks like a football stadium -- will be dedicated to AI.
Coquio explained that normal computing requests could be handled by server racks in rooms with powerful air-conditioning.
But AI racks use much more powerful components, get much hotter and require water to be physically pumped into the equipment, he said.
"For sure, this requires different servers, storage equipment, communication equipment," Coquio said.
Is it sustainable?
The biggest players in AI and data centers -- Amazon, Google and Microsoft -- have been trying to reduce their carbon footprints by buying up vast amounts of renewable energy.
Amazon official Prasad Kalyanaraman told AFP that the firm's data centre division, AWS, was "the largest purchaser of renewable energy in the world today".
AWS is committed to being a net-zero carbon company by 2040. Google and Microsoft have pledged to reach that goal by 2030.
But building new data centres and ramping up usage in existing ones is not going to help with green energy targets.
Google and Microsoft have said in recent reports that their greenhouse gas emissions have been rising in the last few years.
Google flagged a 48 percent rise from 2019 and Microsoft a 30 percent increase from 2020.
Both have squarely blamed AI.
Microsoft President Brad Smith told Bloomberg in May the pledge was a "moonshot" made before the AI "explosion", adding that "the Moon is five times as far away as it was in 2020".
© 2024 AFP
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