A massive artificial intelligence boom has sparked a severe global shortage of computer infrastructure. A Financial Times report reveals that Google had to cap Meta’s access to its Gemini AI models because Meta demanded more computing power than Google could physically provide. Meta relies on Gemini for vital internal tasks like scam detection and customer service, leading to project delays. Despite technology firms spending billions on data centres and advanced chips, building infrastructure remains too slow. Google recently passed twenty billion dollars in quarterly cloud revenue but admitted to being completely ‘compute-constrained.’ To cope, Meta is forcing staff to use fewer AI tokens while migrating workloads to its own Muse Spark model. Meanwhile, Google is desperately leasing extra computing capacity from Elon Musk’s SpaceX for nine hundred and twenty million dollars a month.
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0:00 Intro
00:25 What Happened?
1:07 But Why Can’t Google Provide More AI Power?
2:31 Meta Is Also Relying More on Its Own AI Models
2:54 Google Is Trying to Solve the Problem
Gemini AI | Meta | Gemini VS Meta | Sundar Pichai | Mark Zuckerberg | Firstpost
#gemini #sundarpichai #markzuckerberg #gemini #meta #facebook #instagram #firstpost
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