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.

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.

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.

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.

Arm is expanding its business model from licensing Neoverse core IP and compute subsystem (CSS) technologies to selling finished server CPUs for artificial general intelligence (AGI) applications. Meta is a co-developer and primary customer, while OpenAI also plans to adopt the products. Customers can purchase processors directly, reducing the time and cost required to develop and deploy their own chips, while Arm can increase its chip sales revenue.

Surging demand for AI computing is driving advanced packaging toward larger form factors, according to Ting-Hao Lin, R&D vice president at Kinsus Interconnect Technology, speaking at the 2026 TPCA Show. To support this trend, substrate materials must deliver low warpage and exceptional dimensional stability while overcoming challenges in thermal expansion mismatches and structural stress.

AI server power architectures are evolving toward high-voltage distribution and point-of-load voltage conversion, according to DIGITIMES Intelligence.

Invasive brain-computer interfaces (BCIs) are demonstrating long-term commercial potential. Neuralink has enabled paralysed patients to control computers and robotic arms through thought; Synchron's iOS integration lets patients operate iPads; and Science combines implanted chips with smart glasses to help visually impaired patients recognise text again. Potential applications extend to unmanned vehicles and defence.

DIGITIMES observes that as AI servers and high-speed networking equipment continuously pursue higher data transmission rates, printed circuit boards (PCBs) are being upgraded through higher layer counts and lower-loss materials. In this transition, via structures have become critical bottlenecks affecting signal integrity. When high-frequency signals route between layers in a multilayer board, residual barrel copper can impair transmission, generating robust demand for high-precision backdrilling equipment.

Generative AI is pushing chip power consumption and heat flux to unprecedented levels, driving AI packaging thermal management requirements from several hundred watts to the kilowatt (kW) scale. Heat sink specialist Jentech Precision points out that package lids are evolving beyond conventional solid-state heat conduction toward phase-change heat spreading and microchannel liquid cooling, with TIM-less architectures representing the next horizon.

The world's three largest memory manufacturers—Samsung Electronics, SK Hynix, and Micron Technology—along with Taiwan-based Nanya Technology, Winbond Electronics, and Macronix International, face significant obstacles in their transition to renewable energy.

Microsoft's early adoption of TSMC's 2nm process, a US$2 billion manufacturing partnership between TSMC and GlobalFoundries, and delays to Google's next-gen TPU highlight diverging strategies in AI chip development and advanced packaging.

SpaceX announced on October 8, 2026, that it would acquire US 800MHz low-band spectrum licenses held by Grain Management, covering up to 14MHz of paired bandwidth. The transaction remains subject to approval by the Federal Communications Commission (FCC).

Chinese automakers are accelerating their expansion into humanoid robotics, leveraging artificial intelligence (AI) technologies, electric drive systems, and supply chain resources developed through their automotive businesses, according to DIGITIMES Intelligence.

Meta's recent introduction of its personal AI agent, Muse, has renewed interest in AI assistants capable of operating across devices. Unlike conventional AI features tied to individual smartphones, computers or vehicles, personal AI agents use memory, reasoning and tools to understand user needs and maintain personalised experiences across services and devices. DIGITIMES observes that this shift could extend AI agents into vehicles, transforming smart cockpits from standalone in-car systems into connected environments integrated with smartphones, wearables and personal digital services.