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Browse technical resources about optical communication components, fiber technology, and network solutions.

  • Southeast Asia AI Computing Servers

    Southeast Asia AI Computing Servers

    Southeast Asia data center capacity is on track to triple by 2030 on AI demand. Malaysia and Indonesia anchor the new ASEAN compute belt. 2. Artificial intelligence (AI) is fuelling an unprecedented surge in data demand – and Southeast Asia is not yet ready to meet this challenge. Across industries such as manufacturing, mobility, and logistics, next-generation AI applications are starting to replace traditional sensors with. Southeast Asia now hosts more than 2,000 data centres across Indonesia, Malaysia, Singapore, Thailand, Vietnam and the Philippines (Ember, 2026), with hundreds more under construction and over a thousand in planning. From Singapore's hyperscaler campuses to Malaysia's semiconductor labs and. Includes a new region (Malaysia Central) and an AI hub in Kuala Lumpur. 2B investment over 15 years for AWS infrastructure in Malaysia.

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  • Passive cooling solutions for AI servers

    Passive cooling solutions for AI servers

    This article examines passive cooling technologies, liquid cooling solutions, and smart thermal management strategies for high-density AI workstations. Familiarity with GPU architecture and basic thermal principles is recommended. Effective cooling is essential to maintain performance, prevent hardware degradation, and ensure reliable operation in noise-sensitive environments. Our systems use evaporation and condensation to transfer heat directly from the chip — no fans, no pumps, no noise. Hot tubs sit at about 38 to 40 degrees Celsius, warm enough that most people can only soak for about 15 minutes. Shift2DC researchers have once more been listed among the world's leading scientists, according to the 2025 edition of “Stanford World's Top 2% Scientists”.

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  • Future Applications of Fiber Optic Communication

    Future Applications of Fiber Optic Communication

    Among the most important emerging trends in fiber optic technology for 2025 are: Ultra-low loss (ULL) fiber, extending long-distance data transmission with minimal signal degradation. This comprehensive review explores OFC's historical evolution, core principles, components, and versatile applications. Did you know that data in 2025 can travel across a hollow-core fiber at nearly the speed of light, shaving milliseconds off global communications? If you've ever cursed your buffering video or waited too long. Fiber optics, a technology that leverages thin strands of glass or plastic to transmit signals, has drastically transformed the realms of and even extends to industrial and medical applications. This article delves into the varied application areas of fiber optics, illustrating its pivotal role in. Researchers developed a flexible artificial compound eye camera inspired by fruit flies that combines panoramic vision, active tracking and AI processing to achieve 270° imaging, low-light motion tracking and ultrafast mixed-reality interaction. Fiber optic cables are commonly used in.

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  • Selection Guide for 400G Long-Distance Optical Transceivers for Distribution Network Automation

    Selection Guide for 400G Long-Distance Optical Transceivers for Distribution Network Automation

    This guide explains the differences between 400G QSFP-DD SR8, DR4, FR4, and LR4 transceivers, including transmission distance, fiber type, connector type, deployment scenarios, and how to choose the right module for your network. The definitive guide to selecting, deploying, and maximizing 400G optical transceivers for network architects, procurement managers, and operations teams building the infrastructure that powers today's AI, cloud, and carrier networks. Many early adopters of 400G QSFP-DD faced similar challenges—just as the industry did during the transition to 10G a decade ago. With its ability to deliver high bandwidth, low latency, and scalable deployment, it has been adopted widely by hyperscale data centers and large enterprises. Several form factors and standards exist within the 400G.

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  • AI Optical Module Disassembly

    AI Optical Module Disassembly

    In this video, NexPCB takes a closer look inside the Xiaomi AI Smart Glasses, focusing on their internal structure and electronic design. 🔍 What we cover in this teardown: Overall mechanical structure and internal layout; Main PCB design and component placement; Key electronic. AI glasses are a new type of wearable device that have gained significant popularity following the surge in AI models in 2024. Compared to previous mainstream eyewear products like VR, the biggest. Intel has consistently pushed the boundaries of technology, and its LV22N, LV22C, LV19C, and LV19N series processors are prime examples of its commitment to innovation and performance. 🔍 What we cover in. They look like a slightly chunkier version of Ray-Ban Metas, but they offer a lot more tech: hidden inside is a micro-projector that beams full-color images through the lenses, painting a 600×600-pixel augmented reality display in the lower right of your vision. We're excited about some repair. Halliday AI glasses use a 3. 5‑inch‑equiv display, long battery life, and support prescription lenses.

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  • Is AI server order growth rapid

    Is AI server order growth rapid

    The AI server market is expected to grow at a CAGR of 26. North American CSPs' continued investments in AI infrastructure are expected to increase global AI server shipments by more than 28% YoY in 2026, according to the latest market research from TrendForce. The rapid growth of AI inference services is boosting demand for general-purpose servers. A comprehensive report by Global Market Insights Inc. With GPUs standardized around Nvidia, vendors compete on AIOps, liquid cooling, and deployment services as enterprises ramp up inference in 2026. US hyperscale data center operators will be the primary customers. 52 billion by 2035, increasing from USD 39. The increased demand for AI applications, improvements in the technology of AI, the evolution of cloud and edge computing.

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  • Where is the AI ​​server

    Where is the AI ​​server

    Data centers for building and running large models contain specialized computer chips,, that used 2 to 4 times as much energy as their regular counterparts (250-500 watts). Companies such as and construct GPUs specifically for machine learning, which can process thousands of calculations per second. Thousands of these GPUs are stored closely together in data centers, alongside specialized hardware and cables to quickly migrate data between these chips.


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