GIGABYTE's AI momentum will be strong until the end of 2027, with capital expenditures of 4 billion yuan next year

GIGABYTE was invited to attend the Dharma Conference and is optimistic that the demand for artificial intelligence infrastructure will continue to expand. (Provided by GIGABYTE)

[Reporter Fang Weijie/Taipei Report] GIGABYTE (2376) is optimistic that the demand for artificial intelligence (AI) infrastructure will continue to expand. Co-general manager Li Yitai said at a press conference today that the current customer order demand is very strong, and the growth momentum of the AI server business is expected to continue until the end of 2027. As existing customers expand purchases, new customers continue to be introduced, and the layout of full-box AI systems and modular data centers is deepened, the overall operating scale will continue to grow.

In response to the construction demand for AI servers and data centers, GIGABYTE continues to expand global production capacity. Capital expenditures in 2026 are estimated to be approximately 2.8 billion to 3 billion yuan, and a further 4 billion yuan is planned for 2027. This is mainly in line with production capacity expansion and global production layout adjustment. Taiwan will continue to strengthen its high-end product, engineering and system integration capabilities. As localized production in the United States gradually matures, supply flexibility and delivery efficiency in the North American market will be improved. Malaysia and other overseas bases will gradually build production capabilities based on customer demand and actual orders.

Li Yitai said that the demand for AI infrastructure comes not only from large customers, but also from other customers of different sizes. Most customers plan project progress, production capacity and supply chain resource allocation earlier than in the past. GIGABYTE will continue to deepen cooperation with global customers, strengthen AI server product development and system integration capabilities, and seize the growth opportunities brought by the next generation AI computing platform.

In terms of product layout, GIGABYTE continues to cooperate with major chip suppliers such as NVIDIA, AMD and Intel. In addition to its existing stand-alone server products, it has also simultaneously invested in the development of NVIDIA's new generation cabinet AI platform, integrating computing, network, storage, power supply and liquid cooling systems, and developing prefabricated and modular AI infrastructure to help customers shorten the time of data center construction and computing power deployment.

In the future, as AI infrastructure develops from stand-alone servers to full cabinet systems, the company will also extend its product capabilities to software management, AI applications and cloud services, providing end-to-end integrated solutions to enhance product added value and market competitiveness.

Regarding the sources of growth in 2027, GIGABYTE is optimistic about the increase in purchasing demand from existing customers, the continued introduction of new customers, and the adoption of more diversified products and integrated services by existing customers. In the future, the customer structure will be more diversified. In addition to large cloud service providers, the demand for emerging cloud operators and enterprise AI applications will also gradually expand.

As for the supply chain outlook, Gigabyte believes that the supply of key components will remain relatively tight in 2027. From CPUs, GPUs, memories, to power, cooling and network equipment, strategic procurement and resource allocation must be carried out in advance to ensure the smooth delivery of the entire AI system.

Gigabyte's revenue in the third quarter was 154.7 billion yuan, an annual increase of 94.4%, and earnings per share were 12.8 yuan, an annual increase of 180.7%. Both revenue and profits hit record highs; the cumulative revenue in the first three quarters was 404 billion yuan, and AI server revenue accounted for 78%. The company expects that with the expansion of operating scale, optimization of product mix and improvement in expense ratio, future profit growth is expected to benefit from economies of scale.