TTM Technologies and Amkor scale AI data center infrastructure capacity

The rapid expansion of high-performance computing for AI is forcing a shift in the hardware supply chain toward advanced interconnects and sophisticated semiconductor packaging. For the streaming ecosystem, this infrastructure buildout is the physical foundation required to support next-generation AI-driven personalization and real-time video processing at scale. As hyperscalers like NVIDIA and TSMC deepen ties with specialized providers like Amkor, the industry is moving toward a more vertically integrated and geographically diverse manufacturing model to mitigate supply risks. Watch for TTM Technologies to hit its projected $600 million in N+M-related revenues in the second half of 2026 as a signal of sustained infrastructure momentum.

Amkor Technology has positioned itself as a critical bottleneck solver in the AI chip supply chain, particularly for advanced packaging of high-performance processors. The company's relationship with NVIDIA deepened significantly in 2025 when NVIDIA committed a $1.5 billion prepayment to Amkor to support advanced packaging capacity expansion in the United States, a move that signaled how chip designers are locking in packaging capacity years ahead of demand. TSMC, which fabricates the dies that Amkor packages, has similarly expanded its CoWoS (Chip-on-Wafer-on-Substrate) capacity multiple times since 2024 to keep pace with orders from NVIDIA, AMD, and Broadcom for AI accelerators. The packaging layer, once a commoditized back-end step, has become a strategic chokepoint that determines how quickly hyperscalers can deploy new GPU clusters.

TTM Technologies occupies a complementary position in the same infrastructure stack by manufacturing the high-layer-count printed circuit boards and backplanes that connect accelerators inside AI server racks. The company's networking segment, which includes products for data center switches and AI cluster interconnects, has grown sharply as hyperscalers build out 800G and 1.6T Ethernet fabrics. TTM reported that its data center and networking end markets drove a 91% year-over-year revenue increase in its most recent quarter, with management citing demand from AI training clusters as the primary catalyst. The company has guided toward $600 million in networking and data center revenues for the second half of 2026, a figure that would represent a structural step-up rather than a cyclical spike.

The broader capital expenditure cycle underpinning both companies reflects a shift in how the semiconductor industry allocates investment. Nvidia is working on AI deals worth more than $750 billion, including a partnership with SK Group to conduct more than $500 billion in business, according to reporting from late July 2026. These financing arrangements, which include backstopping OpenAI's data center leases and chip purchases, have drawn scrutiny from investors concerned about circular revenue flows inflating demand signals. For suppliers like Amkor and TTM, the practical effect is a multi-year visibility window into order books, but it also raises concentration risk if any single customer's financing structure unravels. The CHIPS Act subsidies that underwrote Amkor's Arizona facility and TSMC's U.S. fabs add a policy layer that could shift if political priorities change after 2028.