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Pichai further revealed that the strong quarter was driven by AI-powered features in Google Search, with search revenue grew 19%. In addition, its backlog nearly doubled to over $460 billion.
“These outstanding results are built on our differentiated, full-stack approach. Our first-party models, like Gemini, are now processing more than 16 billion tokens per minute via direct API use by our customers, up 60% from last quarter. It’s really exciting to see how our AI investments are delivering value for our users, customers and business,” Pichai added.
Google’s Gemini app was the main reason behind this growth, with paid subscriptions reaching 350 million across its services. Gemini Enterprise grew 40% quarter-on-quarter in paid active users, showing strong enterprise adoption.
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Lastly, Waymo, Google’s self-driving car company, completed more than 500,000 fully autonomous rides every week.
Google also started selling its AI chips, called TPUs (Tensor Processing Units), directly to some customers for the first time to handle AI workloads and machine learning tasks. Previously, Google only used TPUs internally for products like the Gemini AI model. However, the company expects a small amount of revenue from TPU sales this year.
Pichai believes direct TPU sales can help Google enter a much larger AI hardware market. However, Google is still facing limits on computing power and chip supply due to huge AI demand.