STMicroelectronics said this week that its STM32 microcontrollers, produced in partnership with Hua Hong Semiconductor, have entered volume production in China and are now being shipped to local customers, marking a significant step in the company's "China for China" strategy.

Czech microscopy equipment supplier Tescan is continuing to deepen its presence in the Asia-Pacific market, targeting growing opportunities in semiconductor failure analysis (FA). In an interview in Seoul, CFO Pavel Sustek and Asia-Pacific president Sean Lee outlined the company's localized investment strategy across the region.

Non-China supply chains in the drone sector are emerging as a new battleground for global technology vendors, with Taiwan's chipmakers increasingly expanding into the space. Among the various segments, imaging-related technologies have drawn the most intense competition.

Arm unveiled its first "Arm AGI CPU" on March 24 at its Arm Everywhere event, marking a major shift in its business model. The chip, conceived three years ago and now ready for mass production, breaks from Arm's decades-long role as an IP supplier and signals its entry into the design and delivery of its own silicon products.

At a spring banquet in Taiwan, Qualcomm used the occasion not only to recap highlights from its recent appearances at major industry exhibitions, but also to underscore the growing importance of 6G standards in an AI-driven era. More consequentially, ST Liew—Vice President of Qualcomm Technologies and President for Taiwan, Southeast Asia, and Australia/New Zealand—announced a structural shift: Qualcomm's Taiwan operations will be elevated into a standalone region, reporting directly to the APAC president, on par with markets such as Japan and South Korea.

Arm has officially launched the Arm AGI CPU, a new class of mass-production-ready processor built on its Neoverse platform and designed to power next-generation AI infrastructure. Mohamed Awad, executive vice president of Arm's cloud AI business, also outlined the company's latest strategic roadmap alongside the announcement.

According to Omdia, the global semiconductor market reached approximately US$830.8 billion in 2025, a 23.3% year-over-year increase and the second consecutive year of growth above 20%. This follows a downturn in 2023 and reflects a strong AI-driven recovery. The data processing segment, led by companies such as Nvidia, recorded the fastest expansion, while all major end markets — including automotive, industrial, and consumer — returned to growth, pointing to a broad-based recovery rather than the uneven rebound seen in 2024.

Although it may appear that China's AI GPU development is behind the US by one or more generations, a recent Morgan Stanley report reveals the actual gap is smaller than widely perceived.

The Trump administration set up a US$250 million fund intended to grow out of its "Pax Silica" initiative launched in December 2025, aimed at supporting global supply chains for semiconductors, artificial intelligence (AI), and critical minerals, according to the New York Times. The fund represents the first step in a voluntary consortium that could attract up to US$1 trillion in investments from allies, including Singapore, the United Arab Emirates (UAE), Qatar, Sweden, Japan, South Korea, Israel, Britain, and Australia, with the US committing US$250 million.

Huawei has officially launched its Ascend 950PR processor and introduced the Atlas 350 AI accelerator card equipped with this chip, marking the commercial debut of its next-generation inference computing platform. At Huawei China Partner Conference 2026, the company showcased the Ascend 950PR AI chip, highlighting that a single Atlas 350 card delivers up to 2.87x the compute power of Nvidia's H20, emphasizing its FP4 low-precision inference capabilities, a rare feature among AI accelerators in the Chinese market.

Zeiss is significantly intensifying its investment in Taiwan, positioning the island as a premier global hub for its optical and semiconductor technologies. This strategic shift, marked by the appointment of Henry Cai as the new General Manager of Zeiss Taiwan, signals a move beyond product distribution toward deep-tier research and development collaboration.

Over the past three years, Nvidia founder and CEO Jensen Huang has returned to the same two-axis chart at each annual GTC conference — but the story that chart tells has shifted dramatically, from a technical argument aimed at engineers to a financial argument aimed at CEO and boards of directors. That evolution is not accidental. It is a deliberate, multi-year strategy to elevate Nvidia's compute platform procurement from a line item in an IT budget to a question of corporate competitiveness.

Alibaba Group has been quietly building something big. Over recent years, it has pushed steadily into in-house chip development — moving from design and research all the way to large-scale commercialization, all in a bid to cut reliance on external suppliers.

As semiconductor advanced processes continue to evolve, the factors affecting yield and equipment stability have grown increasingly complex. One long-standing challenge troubling chipmakers such as Samsung Electronics, SK Hynix, and TSMC is wafer wobbling. Korean smart equipment solution provider GSF Solution has introduced a new integrated approach — combining sensing, algorithms, and edge AI — to address the problem.

Power semiconductor design company Inergy Technology expects strong growth momentum in its cooling and power device businesses in 2026, supported by rising demand from artificial intelligence (AI) data centers, with AI server-related products projected to account for 25% of its portfolio.

India's decision to ease foreign direct investment (FDI) restrictions for neighboring countries marks a calibrated shift in policy that could reshape its electronics and semiconductor supply chains, even as geopolitical sensitivities remain intact.

At Nvidia's GTC 2026 conference last week, two figures were notable in helping CEO Jensen Huang connect with major Taiwanese business partners.

Beyond its GTC conference, autonomous vehicles have long stood out as a key application in Nvidia's AI ecosystem. For the company, revenue from self-driving systems represented only about 1% of total sales in 2025. Yet Chief Executive Jensen Huang views the segment as a strategic foothold akin to the early days of CUDA — a launchpad from which the company could potentially scale into multi-trillion-dollar markets.

At its GTC 2026 conference, Nvidia showcased a slate of technologies and new products squarely aimed at the next wave of artificial intelligence inference. With the integration of Groq's LPU technology, Nvidia's portfolio appears markedly more competitive on the inference side — widely seen as a strategic effort to defend its market share and discourage customers from turning to application-specific integrated circuits, or ASICs.

Below are the most-read DIGITIMES Asia stories from the week of March 16-22, 2026:

Elon Musk has unveiled one of his most ambitious industrial visions yet: a "Terafab" that would allow Tesla and SpaceX to design and manufacture their own semiconductors for artificial intelligence, robotics, and even space-based data centers. While the project reflects Musk's sweeping vision of a vertically integrated, AI-driven future, analysts and industry realities suggest the plan may face formidable technical, financial, and structural obstacles.

Driven by massive demand from cloud AI, silicon photonics continues to gain momentum. At the Optical Fiber Communication Conference (OFC 2026), industry players engaged in in-depth discussions on the current state of co-packaged optics (CPO) mass production. IC design experts observed that, compared with previous OFC events, which focused primarily on new technological breakthroughs, the industry in 2026 is clearly more concerned with whether solutions can be delivered on time.

Samsung Electronics' labor union has voted overwhelmingly to initiate dispute proceedings following a breakdown in wage negotiations, raising concerns over potential disruptions to the supply of HBM4 memory for Nvidia's next-generation AI accelerators.