AI vs. Bitcoin: Which is draining the power grid faster?

Source: bitcoinistXiaobai Navigation

Compile:Blockchainknight

AI(AIEnergy competition between the US and BTC mining is heating up. As technology companies improve artificial intelligence, they are also competing with BTC miners for energy. This competition is reshaping US energy consumption as both industries drive unprecedented electricity demand.

AI data centers lead the energy consumption raceThese power-hungry projects are forecast to consume between 85 and 134 terawatt-hours of electricity annually by 2027.

This is roughly equivalent to the annual energy consumption of Norway or Sweden, which shows how much electricity is needed to run complex AI models such as ChatGPT.

Each of these models runs on large server farms, and if ChatGPT were to run for every Google search, it is estimated that the number of servers required would exceed 500,000, with an estimated energy consumption of approximately 29.2 terawatt-hours per year.

It is estimated thatBTC mining consumes 120 terawatt hours of energy per yearLast year, BTC mining consumed 0.4% of electricity worldwide, which is a huge number.

Analysts predict that by 2027, AI energy demand will exceed BTC mining, with 20% of electricity capacity shifting to AI.

As AI and BTC mining advance, they are increasingly competing for some of the same energy resources..

Large technology companies such as Amazon and Microsoft are actively pursuing energy assets, which until recently have been controlled by miners in the crypto asset space.

Competition is heating up, and for some mining operators, it is possible to earn cash by leasing and selling power infrastructure, while for others, the risk of losing power supply has become a reality.

This has led to a frenzied scramble for energy, with data centers expected to devour 91 terabytes of all U.S. electricity by the end of the decade, more than double what they consume today.

It is worth noting thatCrypto asset mining is more dependent on renewable energy. Because about 70% of its energy consumption comes from green energy, while artificial intelligence data centers mainly rely on fossil fuels.

As a result, there is a difference in the perspectives on sustainability between the two technologies. As demand for AI continues to rise, tech companies will weigh their carbon footprint against other alternative energy sources, including nuclear power.

The future of tech industry energy consumption is extremely difficult to predictAs AI continues to push the boundaries, its energy needs will increase accordingly. Unless energy efficiency starts to outpace growth, the environmental consequences will be dire.

According to the International Energy Agency, combined energy consumption from AI and BTC mining will surge to 1,050 terawatt hours by 2026, equivalent to the electricity consumption of a country.

But as with most high-stakes energy races, one question remains:Can AI and BTC mining co-exist, i.e. without taking up all the resources on Earth?

How this is done depends on the ability of these industries to innovate and adapt to the wave of sustainable energy solutions. In their scramble for energy, the future of technology and the environment is at stake.

The article comes from the Internet:AI vs. Bitcoin: Which is draining the power grid faster?

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