Infineon Technologies is betting on RISC-V scalability with AURIX RC1, its first RISC-V-based microcontroller (MCU) platform, unveiled this week. A single instruction set lets the platform span everything from very small controllers to real-time vehicle computers and robotic motion controllers, so RC1 can serve automotive, robotics, and industrial customers at the same time.
DIGITIMES observes that as large language models (LLMs) and agentic AI development become increasingly widespread, it is driving not only significant growth in data center CPU demand but also a sharp surge in key-value cache (KV cache) storage requirements. As DRAM and HBM capacity face severe supply shortages, demand for data center SSDs is rising rapidly.
As artificial intelligence reshapes global chipmaking, the UK's strength in design, materials and research is being tested by a longstanding challenge: turning technological breakthroughs into scalable commercial products.
Following the 2026 US gubernatorial elections, four states that host major AI data centers—Texas, Ohio, Georgia, and Pennsylvania—could impose tighter controls on new projects after Democratic candidates won or secured reelection, according to Bloomberg. Taiwan suppliers are watching closely as some projects could be paused, while Nvidia's upcoming earnings call is expected to provide clues on AI infrastructure demand.
YMTC's parent company, CCSH Corporation, had planned to raise CNY33 billion (approx. US$4.93 billion) through an IPO on Shanghai's STAR Market to finance production-line upgrades and next-generation memory research. However, the strategic placement process, originally expected to begin between late October and early November 2026, has reportedly slowed.
At Hon Hai Tech Day 2026 (HHTD 26), Foxconn showcased the Nvidia DSX POD containerized solution. By leveraging factory pre-building, electromechanical integration, and pre-testing, Foxconn integrates computing racks, networking equipment, power distribution, and liquid cooling systems into rapidly deployable computing units. This approach assists Nvidia in transforming its AI computing platform into a modular data center architecture capable of mass production and on-site delivery.
Marvell announced on November 2 that it has entered into a definitive agreement to acquire Lumentum Holdings in an all-stock transaction valued at nearly US$115 billion. Subject to regulatory approval, the transaction is expected to close in the first half of 2028.
Qualcomm's weakening smartphone business is accelerating its transformation into an AI infrastructure supplier, with custom accelerators, server CPUs, and optical connectivity emerging as growth priorities. Following a 26% annual decline in handset chip revenue in fiscal 4Q26, the US chipmaker is targeting US$5 billion in data center revenue in fiscal 2027 and US$15 billion by fiscal 2029. The question is whether these businesses can scale quickly enough to offset pressures in its traditional market.
AI data centers are accelerating demand for high-speed optical communications, extending competition in the optical transceiver market beyond chips and module manufacturing to critical upstream materials. Indium phosphide (InP), a key substrate for high-speed optical lasers and optoelectronic devices, is increasingly sought after as 800G and 1.6T transceivers gain traction. With capacity expansion requiring time and product qualification presenting technical hurdles, securing InP wafer supplies has become a strategic priority for optical communications companies.
ASML and TSMC announced plans in September 2026, ahead of the SPIE BACUS symposium, to advance high-numerical-aperture extreme ultraviolet (High NA EUV) lithography by replacing the decades-old 6-inch photomask format with larger 12-inch masks. TSMC plans to introduce High NA EUV into advanced-node volume production from 2030, establish a 12-inch mask pilot line and begin production-line and ecosystem qualification by 2031, and achieve full readiness for 12-inch-mask High NA EUV systems supporting advanced-node manufacturing by 2033.
Modern cryptography relies heavily on trapdoor one-way functions: mathematical operations that are easy to perform but difficult to reverse without additional information. Quantum computing and advances in artificial intelligence, however, are raising questions about how long this protection can last.
Although robots received less coverage at Foxconn's 2026 Hon Hai Tech Day (HHTD 26) than in 2025, the company demonstrated the confidence of a global manufacturing leader by looking beyond the humanoid, bipedal form factor. Instead, it highlighted industrial and medical robots, supply-chain partners, and physical intelligence technologies to show how different robotic platforms can serve specialized industries.
Apple is committing more money to research and securing supplies while reducing cash spending on fixed assets, a combination that shows how its AI ambitions and component shortages are reshaping investment. Its November 2 results reveal both a deliberate push into new capabilities and the growing financial burden of keeping devices and services available.
As edge AI applications and AI agents move toward real-world deployment, industrial control and embedded processors are undergoing a structural upgrade in computing capabilities.
Iluvatar CoreX has reported benchmark results showing its Tiangai 300 AI accelerator outperforming Nvidia's H200 on selected metrics, drawing renewed attention to China's progress in developing domestic alternatives to high-end GPUs. Yet the broader competition extends beyond raw processing power, as Chinese chipmakers seek to narrow the gap with leading international AI computing platforms through chip design, software optimisation and system integration.
