NVIDIA and Supply Chain Partners Expand Capacity to Accelerate AI Infrastructure Buildout

Yahoo Finance ·

NVIDIA announced a major global manufacturing expansion alongside key supply chain partners at GTC Berlin on October 21, 2026, to address surging demand for accelerated computing. Substrate agreements with IBIDEN, Samsung Electro-Mechanics, and Unimicron will drive a 2.5x capacity increase over the next three years. Amkor plans to boost advanced packaging capacity by more than 300% by the end of 2028. Backed by a $1.1 billion capacity reservation advance from NVIDIA, KYEC is establishing new U.S. facilities targeting volume production in April 2027. Additionally, SPIL aims to scale optical-engine capacity for co-packaged optics by 15x by mid-2027, with another doubling expected by late 2028. CEO Jensen Huang highlighted that these strategic investments across substrates, packaging, testing, and optical engines are crucial to supporting the largest infrastructure buildout in history and driving the current industrial revolution.

AI 시장 분석

NVIDIA announced a massive expansion of its AI infrastructure production capacity in collaboration with key supply chain partners such as Ibiden, Samsung Electro-Mechanics, and Amkor. It plans to increase substrate production capacity by 2.5 times and expand advanced packaging capacity by over 300% within the next three years to meet the surging demand for AI computing. This supply chain expansion is expected to resolve production bottlenecks in the global semiconductor ecosystem and drive earnings growth for related companies.

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DYAX 전담 분석

NVIDIA's large-scale production capacity expansion is directly linked to an increase in the utilization rates of its partners, acting as a strong positive catalyst for the revenue and profitability of substrate and packaging partners such as Samsung Electro-Mechanics. In particular, accompanied by $1.1 billion in financial support, capital expenditures by related companies are materializing into actual earnings.

The bullish scenario is that sustained AI demand enables supply chain partners to achieve earnings that exceed guidance, while the bearish scenario is short-term margin compression due to surging capital expenditure costs. Key indicators to watch are the quarterly facility utilization rates and advanced packaging order backlogs of the partner companies.

AI가 생성한 분석으로 투자 자문이 아닙니다.

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