Samsung Secures $200 Billion Semiconductor Alliance With Broadcom to Power Next-Gen AI Hardware
The multi-faceted deal spans sub-2nm foundry production, advanced packaging, and high-bandwidth memory through 2030.
Samsung Electronics has expanded its chip partnership with Broadcom in an agreement projected to top $200 billion in cumulative business through 2030, reshaping how custom silicon is built for artificial intelligence infrastructure.
The multi-year arrangement unites Broadcom’s custom chip design operations with Samsung’s end-to-end manufacturing stack. The agreement encompasses contract chip fabrication, high-bandwidth memory (HBM) production, and advanced packaging techniques designed to connect disparate logic and memory dies within a single package.
A critical element of the agreement focuses on Broadcom’s next-generation networking and communications processors, which will be built using Samsung’s sub-2-nanometer fabrication process. As transistor physical scaling hits thermal and power efficiency barriers, sub-2nm manufacturing offers reduced power draw and increased computing density for bandwidth-heavy data centers.
The alliance delivers predictable, high-volume manufacturing load for Samsung’s foundry business as it seeks to gain ground on Taiwan Semiconductor Manufacturing Co. (TSMC), the dominant market leader in advanced node contract manufacturing. While Samsung has previously secured major single-product contracts, including a $16.5 billion agreement to fabricate chips for Tesla, the Broadcom partnership spans multiple operational areas, from silicon wafer processing to back-end chip packaging.
The broad scope of the deal reflects a broader transition across the semiconductor industry toward custom Application-Specific Integrated Circuits (ASICs). Major technology vendors are increasingly shifting away from universal GPUs in favor of workload-tailored chips designed to minimize total operational costs.
To support those custom ASICs, the companies are collaborating on advanced memory architectures. AI models require ultra-fast data transfer rates, making high-bandwidth memory a crucial hardware component. Samsung has been positioning its roadmap—including talks around HBM4E and HBM5 solutions—to address memory bandwidth constraints and support high-volume supply requirements through the end of the decade.
