Growing demand for artificial intelligence infrastructure is reportedly creating new challenges for major technology companies. According to reports, Google has limited Meta’s access to its Gemini AI models after the social media company requested more computing capacity than Google was able to provide.
The report claims Google informed Meta around March that it could not fulfil the full Gemini AI capacity requested. The reported shortfall is said to have disrupted and delayed some of Meta’s internal AI projects.
The report also suggests that several other Google customers have experienced similar limitations, although on a smaller scale. Meta is believed to have been affected more significantly due to its exceptionally high demand for Google’s AI models.
As a result, Meta has reportedly asked its employees to use AI tokens more efficiently. AI tokens are the units used to measure AI model usage. Neither Google nor Meta has officially commented on the reports.
The situation highlights the growing pressure on AI infrastructure across the technology industry. Despite companies investing billions of dollars in chips and data centres, many are still struggling to secure enough computing power to meet the rapidly increasing demand for AI services.
The pressure has also been reflected in Google’s cloud business. During its first quarter ending in March, Google Cloud reported revenue of $20 billion. However, CEO Sundar Pichai stated that computing power constraints prevented even stronger growth and contributed to the cloud division’s backlog nearly doubling compared to the previous quarter.
The reported capacity limitations underline the growing competition for AI infrastructure as demand for advanced AI models continues to outpace available computing resources.
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