According to a new report from Gartner, almost 40% of data centers will have no power to function completely by 2025. Meta, Google, Microsoft and Elon Musk's companies are using a lot of data centers with hundreds to thousands of graphic cards which use a lot of energy. Elon Musk’s xAI supercomputer is expected to reach 500 Terawatt-hours by 2027. This is almost the double power that is needed right now to run a data center.
Meta is also building a lot of new data centers, while Microsoft is also looking to add more data centers. Microsoft is also planning to use Three Mile Island as the nuclear power there can help to fulfill energy needs. Amazon and Google are also looking for nuclear power to run their data centers.
VP analyst at Gartner, Bob Johnson, says that more data centers are needed to handle and run the big amounts of data used by large language models(LLMs) and AI applications. However, this can cause short term as well as long term power shortages which can cause some problems in generation, transmission and distribution of power. Gartner also predicts that electricity prices are also going to increase because of its high demand and it will very likely cause carbon emissions. Overall, this can play a huge part in climate change.
Even though many experts believe that AI can help humans solve the climate crisis, their tech is hugely responsible for causing problems in the environment. The only way to reduce carbon emissions is by using renewable energy sources and using efficient computer hardware.
Image: DIW-AIgen
Read next: Teens Lack Media Literacy Skills, Exposing Them to Misinformation and Conspiracy Theories On Social Media
Meta is also building a lot of new data centers, while Microsoft is also looking to add more data centers. Microsoft is also planning to use Three Mile Island as the nuclear power there can help to fulfill energy needs. Amazon and Google are also looking for nuclear power to run their data centers.
VP analyst at Gartner, Bob Johnson, says that more data centers are needed to handle and run the big amounts of data used by large language models(LLMs) and AI applications. However, this can cause short term as well as long term power shortages which can cause some problems in generation, transmission and distribution of power. Gartner also predicts that electricity prices are also going to increase because of its high demand and it will very likely cause carbon emissions. Overall, this can play a huge part in climate change.
Even though many experts believe that AI can help humans solve the climate crisis, their tech is hugely responsible for causing problems in the environment. The only way to reduce carbon emissions is by using renewable energy sources and using efficient computer hardware.
Image: DIW-AIgen
Read next: Teens Lack Media Literacy Skills, Exposing Them to Misinformation and Conspiracy Theories On Social Media