Samsung reportedly lined up AMD and Nvidia orders for output from its Taylor, Texas chip expansion

Samsung’s next phase of manufacturing capacity in Taylor, Texas, is reportedly set to be fully booked by chip suppliers and AI hardware makers, according to a market report published by Yahoo Finance. The article says Samsung secured orders for the entirety of output planned from its second Taylor facility, reducing a key execution risk for the project: finding buyers at volumes tied to the plant’s ramp.

The report specifically names AMD and Nvidia as customers for the new production. Both companies design semiconductors used in data centers, including processors and accelerators widely used for AI training and inference. For a contract manufacturer like Samsung, landing orders from multiple high-profile customers can also help stabilize utilization during the early stages when a new fab is gradually scaled up.

Samsung’s Taylor expansion is part of a broader push by leading semiconductor makers to ensure advanced chip supply close to major customers in the United States. While the Yahoo Finance report does not provide contract values or delivery schedules in the information available here, the thrust is that Samsung’s planned production is already matched to demand from named buyers rather than relying solely on future customer commitments.

For AMD and Nvidia, securing access to next-generation manufacturing capacity matters because their products are tied to advanced process technologies and complex packaging and validation timelines. Even when chip designers have strong demand indicates, the pace of shipments can be constrained by manufacturing availability, yield ramps, and lead times. Buyer commitments for new capacity are therefore often treated as a lever for reducing bottlenecks in supply chains.

Nvidia’s business spans data center GPUs and AI systems as well as networking and other platforms that support large-scale machine learning deployments. AMD similarly sells data center accelerators and CPUs, including products that compete directly in AI workloads. In that context, a report that both companies are among the customers tied to Samsung’s new Texas output underscores how central leading foundry and manufacturing expansions have become for the competitive dynamics of the AI chip market.

The report is also notable for framing the deal as covering all planned output, not a partial set of allocations. If accurate, that would indicate Samsung has moved beyond early project planning and into a commercial stage where customers have agreed to take production tied to the plant’s intended capacity. However, because the underlying contract terms are not provided in the information available here, it remains unclear how long the commitments last, whether they are adjustable based on performance metrics such as yields, or whether the orders are tied to specific process nodes or chip categories.

More broadly, the claimed customer coverage reflects how the AI hardware buildout has increased pressure across the semiconductor manufacturing stack. New fabs can take years to stand up, and demand expectations can shift quickly with technology cycles. Agreements that map supply plans to concrete buyer demand are therefore often watched by industry participants as indicators of confidence, not just capacity growth.