Google has reportedly ordered more than three million tensor processing units from Intel for production in 2028 [1].
This development marks a significant victory for Intel's contract-manufacturing business as the company attempts to regain market share from rivals like TSMC. The move highlights the growing demand for massive volumes of specialized hardware to support internal AI workloads [1, 4].
Following the news, Intel shares rose as much as 12 percent [3] on Monday, June 8 [5]. The surge represented the company's strongest monthly performance in recent weeks [2].
Reports indicate that Google's order focuses on specialized AI chips designed for high-scale production [1]. While some reports characterize this as a firm order, other industry analysis suggests that Google and Nvidia are evaluating Intel as a backup chipmaker to diversify their supply chains [6].
Intel's semiconductor manufacturing facilities will be responsible for producing the hardware [1]. The strategic shift toward a foundry model allows Intel to build chips for other companies, regardless of whether those companies use Intel's own chip designs.
Industry analysts said that the scale of the reported order, exceeding three million units, would provide Intel with a critical validation of its manufacturing capabilities [1]. This partnership arrives as the global AI race intensifies, forcing tech giants to secure reliable hardware pipelines for the next several years [4].
Intel has not officially confirmed the specific volume of the order, but the market reaction suggests high confidence in the partnership [3, 5].
“Google has reportedly ordered more than three million tensor processing units from Intel for production in 2028.”
This partnership signals a shift in the semiconductor landscape, where Intel is transitioning from a pure chip designer to a critical infrastructure provider for its competitors. By securing a massive order from Google, Intel proves it can compete with TSMC in the high-stakes foundry market. For Google, diversifying its chip production reduces reliance on a single manufacturer, ensuring that its AI ambitions are not throttled by supply chain bottlenecks in 2028.
