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Taiwan ASIC Surge: MediaTek and Alchip Lead AI Server Shift

Reporter Richard Brown
Release time:2026/03/02 08:24
Last update time:2026/03/02 09:48
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 Taiwan ASIC Surge: MediaTek and Alchip Lead AI Server Shift

Taiwan semiconductor firms are aggressively expanding into the AI server application-specific integrated circuit (ASIC) market, positioning themselves to capture a substantial portion of the hyperscaler-driven custom silicon boom. Companies like MediaTek, Alchip Technologies, and Global Unichip Corporation are securing major design wins with cloud giants, leveraging Taiwan's advanced foundry ecosystem and proximity to TSMC to accelerate development and deployment. This pivot offers these players significant revenue diversification beyond traditional mobile and consumer segments, with the data center ASIC market now projected to reach $50-70 billion by 2028 and AI server compute ASIC shipments expected to triple between 2024 and 2027.
 
MediaTek has made the most ambitious move, redirecting resources toward cloud AI accelerators. CEO Rick Tsai has targeted over US$1 billion in revenue from these chips in 2026, scaling to multiple billions in 2027 as follow-on projects ramp up. The company anticipates AI ASICs contributing up to 20 percent of total revenue next year, with partnerships including Google for inference-focused TPUs like the upcoming TPU v8x series. This dual-sourcing strategy challenges Broadcom's dominance and highlights MediaTek's entry as a formidable contender in the hyperscaler ecosystem.

 
 
Alchip Technologies is regaining momentum by expanding into the AWS supply chain as a key design partner for custom AI accelerators. The company expects multiple 3-nanometer projects to enter mass production in 2026, alongside ongoing 2-nanometer collaborations. Industry forecasts position Alchip among the top players benefiting from hyperscalers' shift to purpose-built silicon, with the broader AI ASIC market potentially growing from around US$13 billion in 2024 to over US$150 billion by 2030 at a near 50 percent CAGR.
 
Global Unichip Corporation has already seen explosive growth, with full-year 2025 revenue hitting a record NT$34.141 billion (approximately US$1.087 billion), up 36 percent year-over-year, driven by mass production of projects for major North American cloud providers including Google's Arm-based Axion CPU on TSMC's 3-nanometer process. December 2025 revenue reached NT$4.748 billion (US$151.3 million), a monthly high, and the company anticipates further upside from advanced packaging and FinFET projects entering volume in 2026.
 
 
Hyperscalers are fueling this surge by developing custom ASICs to optimize specialized workflows and reduce reliance on general-purpose hardware. Google pioneered the approach with its Tensor Processing Units, now in advanced generations for Gemini model training and inference, with external availability expanding. Amazon deploys Trainium for training and Inferentia for inference, tailoring silicon to AWS's massive scale for better efficiency and cost control. These designs allow fine-tuned architectures that minimize power and overhead compared to versatile alternatives.
 
ASICs differ markedly from GPUs in their hard-wired focus on specific operations, trading flexibility for superior performance per watt, higher throughput, and lower long-term costs in stable, high-volume environments like inference. GPUs remain essential for programmable, experimental workloads and frontier training, creating a complementary dynamic rather than direct rivalry.
 
Taiwan's server vendors are amplifying the momentum. Quanta posted record 2025 profits and forecasts AI servers comprising about 80 percent of its server revenue in 2026, shifting to liquid-cooled racks for both GPU and ASIC deployments. These ODMs offer hyperscalers a seamless path from custom chip to full-scale data center infrastructure.
 
Long-term, the ASIC market promises sustained expansion through 2030, with custom silicon dominating cost-optimized inference and training clusters while GPUs handle flexible, cutting-edge tasks. The two architectures expand the overall opportunity, and Taiwan's design houses and assemblers are well-placed to secure a meaningful share of the projected US$118 billion custom silicon market by 2033. Their expertise in advanced nodes and supply chain agility positions them as key players in the evolving AI infrastructure landscape.