➀ Skyrocketing electricity prices near AI data centers have surged up to 267% in five years, straining household budgets in affected regions;

➁ The AI boom drives massive power consumption, with U.S. data centers projected to account for 10% of national electricity demand by 2035;

➂ Solutions like on-site gas turbines face environmental concerns, while tech firms prioritize rapid AI development over sustainability challenges.

➀ Littelfuse launched 5.0SMDJ-FB TVS diode series with foldback technology, reducing clamping voltage by up to 15% to protect sensitive DC power lines;

➁ Designed for data centers, AI servers, and industrial systems, it maintains power stability while handling 5000W peak pulse power;

➂ Features drop-in compatibility with legacy models and supports PoE, ICT equipment, and next-gen DC/DC converters.

➀ The PUNCH project, led by Fraunhofer IZM and IMEC, develops photonic integrated circuits (PICs) to enable ultra-fast, low-latency data transmission, targeting applications in data centers and traffic networks;

➀ PICs combine optical signaling with electronic chips using Fan-Out Wafer Level Packaging, boosting network speeds from 200 Gb/s to 1.6 Tb/s while reducing energy consumption and costs;

➂ Supported by EU Horizon Europe funding, the project involves collaborations with NVIDIA, Ericsson, and the University of Cambridge and aims to finalize a scalable solution by 2026.

➀ SoftBank Group has announced the acquisition of Ampere Computing, a Silicon Valley-based startup specializing in Arm-based server chips, for $6.5 billion.

➁ The deal is expected to close in the second half of 2025 and represents SoftBank's growing investment in artificial intelligence infrastructure.

➂ The acquisition reflects SoftBank's belief in the increasing importance of Arm-based technology in data centers.

➀ Generative AI, humanoid and service robots are expected to be major trends in 2025.

➁ AI notebooks and servers will see significant growth.

➂ Advanced processes and CoWoS will play a crucial role.

➃ Enhanced cybersecurity defense and threat detection needs will be crucial.

➄ Hackers will exploit GenAI for offensive tactics.

➅ AMOLED expansion will continue.

➆ Miniaturization and low-cost production of CubeSats will drive global communication and IoT revolution.

➇ Modular end-to-end model production and Level 4 robotaxi commercialization will accelerate.

➈ EVs and AI data centers will drive battery and energy storage innovations.

➀ The rapid development of data centers and the demand for faster and more efficient communication networks are driving the adoption of silicon photonics.

➁ Silicon photonic integrated circuits (PICs) combine the advantages of optics with the scalability of integrated circuits, enabling high-speed data transmission.

➂ The market for PICs is expected to grow significantly, driven by high-speed modules and expanding data centers.

➃ Major semiconductor companies, such as Intel and Broadcom, are investing heavily in silicon photonics technology.

➄ Newcomers like Lightmatter, Celestial AI, and Ayar Labs are also making significant contributions to the field.

➅ Semiconductor foundries are playing a crucial role in the production of silicon photonics products.

➀ A government-backed think tank in China recommends data centers to use Nvidia's A100 and H100 high-performance computing units.

➁ The recommendation comes with a warning of high costs involved in shifting to domestic solutions.

➂ Despite US sanctions and restrictions on Nvidia's advanced GPUs, China's domestic GPU start-ups have made progress in both hardware and software.