Google reportedly limits Meta’s access to Gemini AI models, here is why
Google has reportedly placed limits on how much of its Gemini AI models Meta can use.
This is because Meta requested more computing power than Google could provide.
Google informed Meta around March that it could not provide all the Gemini AI capacity the company wanted to buy.
Google has reportedly placed limits on how much of its Gemini AI models Meta can use. This decision is said to come after the social media giant requested more computing power than Google could provide. This highlights a growing problem in the AI industry that there is not enough computing power to meet demand. According to a report by the Financial Times, Google informed Meta around March that it could not provide all the Gemini AI capacity the company wanted to buy. As a result, some of Meta’s internal AI projects have been delayed.
SurveyMeta has reportedly asked its employees to use AI tokens more carefully. The report also says that Meta is not the only company facing this issue. Some other Google customers have also experienced limits on AI computing resources, but their impact has reportedly been smaller. Meta has been affected more because of its unusually high demand for Google’s AI models.
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This shows that even some of the world’s biggest technology companies are struggling to keep up with the growth of AI. Companies continue to invest billions of dollars in new data centres and advanced AI chips, but building this infrastructure takes time.
Google has already acknowledged that computing capacity is becoming a challenge. During the first-quarter earnings announcement, Google CEO Sundar Pichai said that demand for Google Cloud services was so strong that limited computing resources prevented the business from growing even faster.
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Just last month, OpenAI introduced a new offering called Guaranteed Capacity for customers who need to buy access to AI computing power for their products, AI agents and workflows. The company said that the offering “enables customers to guarantee long-term access to OpenAI compute.” Customers can choose between one-year, two-year or three-year commitments.
OpenAI CEO Sam Altman explained the reason behind the offering, saying that the “customers are increasingly asking us for certainty on capacity. as models get better, we expect that the world will be capacity-constrained for some time.”
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Ayushi works as Chief Copy Editor at Digit, covering everything from breaking tech news to in-depth smartphone reviews. Prior to Digit, she was part of the editorial team at IANS. View Full Profile
