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Oct 13
Interview: Microsoft's Maia GM on Maia 300, Taiwan and HBM supply
Microsoft's in-house Azure Maia chips will become the main platform for its own AI services, including Microsoft 365 Copilot, GitHub Copilot and Microsoft Foundry. However, the company will keep using GPUs from Nvidia and AMD, Andrew Wall, general manager of the Azure Maia program, told DIGITIMES.
At Plug and Play Taiwan's Batch 4 Selection Day, 21 startups made the case that Taiwan's next wave of innovation is being built by chip-industry veterans who are tackling problems faced by the world's biggest tech companies.
The AI accelerator market is set to reach US$1.4 trillion by 2030, up 150% from Bloomberg Intelligence's January 2026 estimate of US$560 billion, as higher prices—not just shipment growth—drive the market. Annual revenue is expected to surpass US$1 trillion in 2028, growing at a compound annual growth rate (CAGR) of 38% from 2026 to 2030.
Hua Hong Group signed strategic agreements with four Chinese semiconductor equipment suppliers at the inaugural 2026 China Integrated Circuit Exhibition (China Chip Exhibition) in Shanghai, strengthening cooperation on domestic manufacturing technologies. The event also showcased advances in chipmaking equipment, AI accelerators, and electronic design automation (EDA).
Japanese semiconductor materials giant TOK is expanding its production footprint in Koriyama, Fukushima Prefecture, to strengthen its position in the global semiconductor materials market, particularly photoresists. The company announced on October 8 that a new facility at its Koriyama plant had been completed and that it plans to expand the site further.
The contest for leadership in AI computing is being fought on two fronts—technology and manufacturing capacity—and chipmakers must advance chips, memory, advanced packaging and system interconnects simultaneously to keep pace with demand, Applied Materials President and CEO Gary Dickerson said.
As the gap between memory supply and demand widens due to the surge in AI applications, supply chain sources report that major GPU and custom ASIC vendors are considering lower-spec high-bandwidth memory (HBM) configurations for their next-generation architectures. Severely constrained supply is expected to drive a pivot toward 8-layer HBM in the second half of 2027. This move will not only boost memory makers' yields but, more importantly, enable a higher volume of finished systems to ship smoothly.
DDR4 contract prices are rising faster than those of the newer DDR5 standard, reversing the usual pricing pattern in the memory market. The artificial intelligence (AI) boom has prompted memory manufacturers to expand high-bandwidth memory (HBM) production while scaling back legacy DRAM capacity, tightening DDR4 supply and lifting contract prices.
King Yuan Electronics (KYEC) has signed a prepayment agreement with Nvidia to support its wholly owned US subsidiary, AeternZ, in building local testing capacity, giving Nvidia early access to AI chip testing capacity in the US. The move further clarifies KYEC's plans to invest in the US, with Fort Worth, Texas, reportedly emerging as the likely site of its operations in the country.
China's ChangXin Memory Technologies (CXMT) plans to mass-produce next-generation 4F² DRAM by the end of 2026, potentially ahead of South Korean rivals Samsung Electronics and SK Hynix. The announcement has fuelled speculation that China's memory technology is approaching or surpassing South Korean capabilities, while positioning CXMT for an early entry into the emerging 3D DRAM market.
Qualcomm is pushing to cut edge AI's energy cost as phones, cars, and other devices face tighter power and cooling limits than data centers. At the opening of Applied Materials' EPIC Center, the company said its memory-and-logic stacking work could sharply reduce energy use, although thermal, materials, and manufacturing challenges remain globally.
Taiwanese semiconductor testing services provider King Yuan Electronics (KYEC) is expanding its US footprint, with its board approving an advance payment agreement with Nvidia. Under the arrangement, Nvidia will make advance payments to support KYEC and its US subsidiary AeternZ Semiconductor Testing in building local testing capacity, while securing capacity for Nvidia. The payments will be gradually offset through the provision of testing services.