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  • Optical Communication Chip Testing Instruments

    Optical Communication Chip Testing Instruments

    Optical communication chip and module test equipment refers to specialized testing systems and instruments used to evaluate the performance and reliability of optical communication chips (DSP, silicon photonics chips, laser chips) and optical modules (400G, 800G, and 1. As the industry. site configuration. Headquartered in Singapore, NEXUSTEST is a global supplier of high-end test equipment for the optical and semiconductor markets. We design and manufacture advanced test instruments and systems for high-speed optical modules, laser diodes, Silicon Photonics wafers, and Co-Packaged. ficonTEC's series of photonic device testing machines is focused on automated electrical, optical or mixed-signal electro-optical characterization (test-&-qualify) of chips and dies, optoelectronic assembles and integrated devices. This capability includes PIC design validation and device. Keysight offers seven capability classes of optical component analyzers, coherent transmission testers, and photonic test parts.

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  • Recent Updates on the AI ​​Server Industry

    Recent Updates on the AI ​​Server Industry

    With GPUs standardized around Nvidia, vendors compete on AIOps, liquid cooling, and deployment services as enterprises ramp up inference in 2026. Image: Nvidia The AI server market continues its explosive growth, fueled primarily by demand for GPUs – particularly from Nvidia. As the customer base. Size, Share, & Trends Analysis Report By Processor (GPU-based Servers, FPGA-based Servers), By Cooling Technology (Air Cooling, Liquid Cooling), By Form Factor, By End Use (BFSI, Automotive), By Region, And Segment Forecasts The global AI server market size was valued at USD 131. 7 billion in 2025. A comprehensive report by Global Market Insights Inc. By processor type, the ASIC-based servers segment is expected to register the highest CAGR of 38. By. The AI Server Market represents a critical backbone of modern artificial intelligence infrastructure, enabling high-performance computing required for data-intensive AI workloads.

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