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Apr 10, 11:59
Intel–Google alliance reframes AI infrastructure around CPUs
A newly expanded collaboration between Intel and Google signals a key shift in AI infrastructure: CPUs are back at the center of the conversation. Both companies emphasized that the partnership spans multiple generations of Intel's Xeon processors and includes co-development of custom infrastructure silicon. Financial terms and deployment timelines were not disclosed, but the scope points to a long-term alignment, not a one-off supply deal.

GITEX Asia 2026 wrapped up in Singapore with a clear shift in industry priorities, as artificial intelligence (AI) spending moves from infrastructure buildout toward monetization, with inference and edge deployment emerging as the next battleground.

South Korean IC design firm AD Technology transitioned from the TSMC Value Chain Alliance (VCA) to become one of Samsung's Design Solution Partners (DSPs) in 2019. After overcoming initial challenges, the company has returned to profitability and now aims to surpass KRW1 trillion (US$673.2 million) in revenue by 2029 or 2030 through its self-developed 2nm server platform, ADP620.
Taiwan's minister of digital affairs, Yi-Jing Lin, recently pointed out that the Ministry of Finance (MOF) has announced a major incentive encouraging the private sector's investments in AI computing equipment. Under the Act for Promotion of Private Participation in Infrastructure Projects, eligible investors who sign contracts with the Ministry of Digital Affairs (MODA) can enjoy significant tax benefits from their investments in AI computing equipment.
Compal Electronics' stronger-than-expected March and first-quarter 2026 results signal supply-chain and product-mix shifts with global implications for PC supply, server capacity for AI workloads, and memory pricing dynamics. Investors and enterprise buyers may see tighter PC inventories and accelerated non-PC offerings as Compal pivots toward AI-focused server solutions and smart devices.
The US is moving to broaden restrictions on Chinese laboratories testing electronics, a step that could effectively exclude a large portion of China's testing ecosystem if the proposal is approved.
Asustek's record-breaking March and first-quarter 2026 results reflect surging demand for AI servers and PCs, with broader implications for enterprise infrastructure spending and global supply chains.
Taiwan is stepping up its global semiconductor leadership with a coordinated push into silicon photonics (SiPh) and advanced materials, aiming to meet surging demand for faster, more energy-efficient AI computing while strengthening domestic technological autonomy.
Merck presented integrated materials and inspection tools at Touch Taiwan 2026 as the panel industry pivots toward chip-on-panel (CPO) and advanced packaging. The company emphasized solutions to improve yield, resolution, energy efficiency, and inspection speed to support next-generation optoelectronic semiconductor integration.
Oracle's surge in AI infrastructure spending is prompting global supply chains to expand capacity, with partners ramping factories in Taiwan, Vietnam and the US to serve hyperscale cloud clients. The move signals sustained order growth, shifts manufacturing closer to Asian markets, and could affect server and data center supply dynamics.
As the smart glasses market grows rapidly, the adoption of Micro LED in AI-powered eyewear is accelerating. PlayNitride has partnered with AR glasses maker ChaseWind to develop a full-color, high-resolution Micro LED AI smart glasses product, which is expected to be deployed in industrial control and drone applications. Meanwhile, its Tantium chips targeting wearable devices and automotive displays, launched in 2025, have entered the mass production phase and are set to begin order-based production in 2026.
In response to strong demand for data security and on-premises AI deployment within South Korea's manufacturing and semiconductor sectors, Taiwanese AI company Spingence Technology is aggressively expanding into the South Korean market starting this year through its enterprise edge large language model (LLM) platform, Edgestar.