Amazon’s big AI data center – level 3
03-11-2025 15:00
Amazon opened its largest AI data center on 1,200 acres in Indiana, hosting half a million AWS Tranium 2 chips to support Anthropic, an OpenAI competitor.
Just over a year ago, the area was farmland, but now seven buildings are operational, with plans for around 30 total. The center will use 2.2 gigawatts of electricity, enough for over a million homes. Locals express concern about the impact on utilities, water, and roads, and Amazon is funding upgrades and improvements. This rapid buildout is unusual, but Amazon emphasizes its expertise in large-scale AI infrastructure. The company designs and uses its own Tranium chips rather than Nvidia GPUs, allowing cost efficiency and high compute capacity. Anthropic benefits from this partnership as Amazon provides scalable AI training infrastructure.
Despite criticism about overbuilding and potential inefficiencies, the project demonstrates how major tech firms can quickly deploy custom AI hardware at an industrial scale. The site is part of a broader multi-campus AI expansion in the United States.
Difficult words: utility (a service that provides something useful to people, usually public services like electricity, water, gas, or internet), expertise (special knowledge or skill in a particular area; knowing how to do something very well), scalable (able to increase in size or capacity easily).
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How is Amazon’s use of its own Tranium chips—rather than Nvidia GPUs—helping achieve cost efficiency and high compute capacity at the Indiana site?
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