Industrial computer (IPC) maker Qbic held its pre-IPO presentation for the over-the-counter market on October 1, 2026, highlighting a strategy that differs from that of most Taiwanese IPC peers by centering on the Arm architecture instead of x86. Qbic said smart access control is now its biggest revenue driver, accounting for about 60% of revenue in 2025, while smart retail and edge AI are the next expansion areas.
Following its return to independent operations, AI startup Manus unveiled two new products in late September 2026: Manus 2.0 and "Cue," a personal agentic AI application. The product rollouts mark the company's first major strategic moves after its planned acquisition by Meta fell through.
Japanese motor and electronic components maker Nidec said on September 30 that its long-delayed consolidated financial report for fiscal year 2025 (from April 2025 to March 2026) showed losses from accounting irregularities of JPY632.1 billion (US$3.99 billion), far above earlier estimates. Uncertainty over the company's turnaround also deepened after auditors declined to issue an opinion.
South Korea's LG Electronics and LS Electric are expanding deeper into AI data center infrastructure, targeting two of the fastest-growing bottlenecks around high-density computing: cooling and power delivery. LG is adding chiller capacity in the US and South Korea, while LS Electric has secured a US$133.41 million contract to supply ultra-high-voltage transformers for a hyperscale AI data center project in North America.
US federal prosecutors on October 1 arrested a 38-year-old California man accused of violating US export controls by smuggling computer servers containing US$300 million worth of Nvidia artificial intelligence chips to China.
Under Lisa Su's 12-year tenure at Advanced Micro Devices (AMD), the company has gradually moved beyond its role as Intel's challenger in the CPU market. But in the accelerator market for training and running AI models, old rival Nvidia still holds the upper hand.
Google has moved its orbital AI data center ambitions from paper to hardware. A prototype satellite carrying the company's Tensor Processing Units (TPUs) reached orbit on October 1, 2026, and the data it returns over the coming weeks will help decide whether Project Suncatcher's vision of solar-powered compute clusters in low Earth orbit can survive contact with reality. The launch also puts the first real test data behind a concept that a Gartner analyst has said does not make economic sense.
China's AI investment is increasingly turning into server purchases and data center construction, and the wave that began with large tech companies is now spreading to mid-sized firms. South Korean media say the expanding China AI demand could open new markets for Samsung Electronics and SK Hynix.
When the underlying economics of infrastructure commitments meet the financing muscle of the companies supplying foundational compute, the traditional boundary between supplier and customer begins to blur.
New AI models arrive every few weeks, and the question of which is better often comes down to the leaderboard. Behind those rankings, evaluation can look like an academic exercise in setting rules, running tests, and assigning scores. However, public benchmarks—and strong placement on them—have long been tied to a lucrative business, with money flowing to different players in different eras.
SK Hynix has reiterated that no decision has been made on a potential US initial public offering (IPO) or other external financing for its Solidigm subsidiary, as the company weighs investment needs driven by growing demand for AI data center storage.
More coverage