Microsoft will spend $80 billion on AI data centers

Microsoft plans to invest $80 billion on AI-enabled data centers in fiscal 2025
Microsoft is planning to invest about $80 billion in fiscal 2025 on developing data centers to train artificial intelligence (AI) models and deploy AI and cloud-based applications, the company said in a blog post on Friday.
Microsoft to invest over $80 billion on specialised AI data centres in fiscal year 2025
While Microsoft’s announced $80 billion investment in data centres all over the world, more than half of that amount will be directed towards data centres in the United States as the US continues to be a frontrunner in the global AI race,
Microsoft reveals plan to spend $80B building AI data centers in fiscal 2025
Microsoft Corp. has revealed plans to invest more than $80 billion in the construction of data centers for artificial intelligence workloads during its current fiscal year, part of an effort to cement its status as a leader in the fast-growing industry.
Microsoft to Spend $80 Billion on AI Data Centers This Year
Microsoft Corp. plans to spend $80 billion this fiscal year building out data centers, underscoring the intense capital requirements of artificial intelligence.
Microsoft expects to spend $80 billion on AI-enabled data centers in fiscal 2025
Over half of Microsoft’s $80 billion in spending will take place in the U.S., Microsoft Vice Chair and President Brad Smith wrote in a Friday blog post.
Microsoft Slated to Invest $80 Billion in AI-Enabled Data Centers This Fiscal Year
The software giant's president, Brad Smith, said Friday in a blog post that more than half of the $80 billion would be spent in the U.S.
Microsoft Is Reportedly Planning To Invest $80 Billion In FY 2025 On AI-Enabled Data Centres
Microsoft has announced plans to allocate approximately $80 billion (around Rs. 6,86,200 crore) in fiscal year 2025 to expand its data centre infrastructure, Reuters reported. This investment aims to support the training of advanced artificial intelligence (AI) models and facilitate the deployment of AI-driven and cloud-based applications,
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