Tesla unveiled its new Roadster, equipped with rocket-style thrusters, on October 15 and announced plans to begin production in 2028, more than a decade after the second-generation prototype was first showcased.
Nvidia has won a CPU supply order from AI startup Modal, challenging Intel and AMD in the server CPU market as it expands beyond GPUs into general-purpose computing. Although Modal's annual revenue is below US$1 billion, and neither the order's value nor its deployment scale has been disclosed, the deal underscores a broader shift in AI infrastructure competition toward full-stack system integration.
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.
As AI data centers accelerate construction, supply-chain competition is expanding beyond servers and fully integrated racks to the integrated delivery of computing modules and site engineering. Nvidia unveiled its DSX POD reference design based on the Vera Rubin platform at GTC Berlin, with partners installing, integrating, and validating equipment inside containerized modules before transporting them to customer sites for final assembly and operation.
Liquid cooling in AI data centers is moving toward more granular control architectures. Patrick Zeng, general manager of data center thermal management at Texas Instruments (TI), told DIGITIMES that as next-generation GPU computing power and rack power continue to rise, thermal management will shift from centralized control by a CDU to independent control for each server tray, a shift that will increase the use of sensors, drivers, MCUs, and other components within each rack.
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 economics of the foundry business have always carried a particular contradiction: semiconductor manufacturing demands enormous upfront capital and years of sustained investment, yet the companies making those investments are expected to preserve enough strategic independence to respond quickly to technology cycles and customers.
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.
Spanish semiconductor metrology startup Wooptix, whose technology originated in astronomical observation, is accelerating efforts to enter the supply chains of leading semiconductor foundries.
Surging AI-driven chip demand has extended order visibility for Zeiss, a key supplier of extreme ultraviolet (EUV) lithography optics. Christoph Hensche, president of Zeiss Semiconductor Manufacturing Optics (SMO), told DIGITIMES in an exclusive interview that demand for 2026 and 2027 is already clearly defined, with production capacity at Zeiss and some other manufacturers fully booked for the coming years.
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).
Singapore is targeting high-value semiconductor manufacturing, advanced packaging, and silicon photonics, building on its strengths in engineering, precision manufacturing, and reliability, according to Zeng Yi Wong, assistant managing director for manufacturing at Enterprise Singapore (EnterpriseSG).
Singapore is moving its AI strategy beyond pilot-heavy experimentation toward a more deployment-focused model centered on enterprise adoption, sector transformation and resilient access to compute.
The semiconductor industry reached the US$1 trillion revenue milestone several years earlier than originally forecast, and with growth driven by AI and quantum computing, reaching US$2 trillion by 2035 is entirely achievable, SEMI President and CEO Ajit Manocha told DIGITIMES in an exclusive interview at SEMICON West 2026.
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.
