Optics Amp Photonics News

Latest news on Luxshare Precision optical modules

Luxshare Precision Industry Co stock (ISIN: CNE100000X44) gains traction as AI-driven demand accelerates for its high-speed optical modules and copper interconnect solutions, positioning the Shenzhen-listed supplier at the heart of data center expansion. LUXSHARE PRECISION INDUSTRY CO. Tranche Update on Luxshare Precision Industry Co. 's Equity Buyback Plan announced on December 31, 2025. Luxshare is developing an integrated copper, optical, and thermal solution. The company aims to double its liquid cooling business profits this year, and. This AI glasses with a starting price of 1,999 yuan adopts a dual - core architecture.

Latest news on AI server power supply

Texas Instruments (TI) today debuted new design resources and power-management chips to help companies meet growing artificial intelligence (AI) computing demands and scale power-management architectures from 12V to 48V to 800 VDC. In this session we will discuss the latest advancements in AI server power supplies, as we explore the trends and evolution of power conversion for Artificial Intelligence (AI) servers. The rise of artificial intelligence (AI) has significantly increased computing. According to the International Energy Agency (IEA), data centers consumed approximately 2% of all electricity in 2022 – around 460 TWh.

Silicon Photonics Liquid Cooling Technology

Silicon Photonics + Liquid Cooling: Silicon photonics (SiPh) reduces power consumption of optical modules. Leading manufacturers at home and abroad are continuously investing in this technology, while announcements and standards. Traditional air-cooling solutions can no longer meet the thermal demands of high-performance chips such as GPUs, ASICs, and optical chips. According to IDC, the global liquid-cooled data center market will exceed USD 20 billion by 2027, with a compound annual growth rate (CAGR) of 25%. Replacing pluggable transceivers with silicon photonics on the same package as the ASIC, NVIDIA CPO innovations provide 5x better power. One of the most effective emerging solutions is direct-to-chip liquid cooling, which supports AI workloads cooling by delivering efficient heat management while enhancing sustainability and performance. ASIC Race: GPUs will remain the dominant force, growing fastest due to the complexity and rising compute demands of AI-intensive workloads. Modern AI workloads—especially those involving generative models and machine.

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