Grok, Musk's AI Model: $2.8 Billion for Data Center Power
Musk's xAI will spend $2.8 billion on gas turbines for its Colossus supercomputer over a three-year period. Buying on-site generators is standard practice for giant data centers that draw hundreds of megawatts. At the same time, xAI is being sued in Texas over air pollution and noise from the running generators.
AI-processed from TechCrunch; edited by Hamidun News
xAI's Grok neural network demands enormous amounts of energy: Musk is investing $2.8 billion in gas generators and turbines for the Colossus data center in Texas.
Why does Grok need so much energy?
Training large language models requires thousands of chips running simultaneously on a continuous power supply. The Colossus data center handles huge volumes of computation to train the model.
Why does a neural network need so much energy?
Computations run on thousands of chips at once, and they require stable, uninterrupted power. The Colossus data center trains large language models.
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Key Questions Answered
Why does Grok need so much energy?
Training large language models requires thousands of chips running simultaneously on a continuous power supply. The Colossus data center handles huge volumes of computation to train the model.
Why does a neural network need so much energy?
Computations run on thousands of chips at once, and they require stable, uninterrupted power. The Colossus data center trains large language models.
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