Taipei, December 11, 2025: Dimerco Express Group ("Dimerco") has announced that it is strengthening its integrated, Asia-focused logistics solutions to help customers capture growth from AI and "Taiwan+, China+" manufacturing while managing risks from congestion, regulatory changes and shifting capacity

At COMPUTEX 2025, ASUS showcased its comprehensive AI infrastructure solutions, targeting the computing needs of data centers, edge computing, and a wide range of intelligent applications. With a robust product portfolio, ASUS brings to life the NVIDIA AI Factory vision, illustrating how AI will be deeply embedded into enterprise IT infrastructure. This evolution continues to drive forward applications and services that shape the future of AI and high-performance computing

Technology news, product launches and show highlights from the event attendees available for download (PDF).

The manufacturing industry is facing major changes with the rapid development of artificial intelligence (AI) technology, which has made computing power and AI application services the "new oil" that fuels the competitiveness of enterprises. However, simply stacking hardware is not enough to run AI models, which are highly dependent on a stable and secure computing environment with low latency. The only way to ensure enterprise-level power, cooling, network bandwidth, and cybersecurity for the deployment of AI applications at scale is to set up the AI model in a professional Internet data center (IDC).Founded in 2009, Global Instrument Technology (GIT) initially provided instrument rental and automation solutions. However, its business expanded along with the upgrading of Taiwan's manufacturing industry, as it focused on optimizing networking, semiconductors, automotive electronics, and EMS production lines. It even expanded into surface defect detection for popular products, such as e-readers and Apple Watches. The company subsequently expanded to smart manufacturing solutions, such as the Industrial Internet of Things (IIoT) and early warning of anomalies, under Industry 4.0, expanding from single-point improvement to system-level optimization.GIT saw that the clearest trend in the manufacturing industry in recent years has been the rapid adoption of AI by factories. Its application scenarios include image inspection and IIoT. However, in addition to software capabilities, the support of a stable and high performance computing environment and network architecture are also needed to actually run AI models in production lines.To help customers in the manufacturing industry adopt AI more quickly, GIT partnered with Chunghwa Telecom to provide enterprises with an "AI application verification platform" and integration services in a secure and high performance professional IDC environment. This architecture allows enterprises to verify AI image inspection models and analyze the quality of AI models without increasing the burden of hardware, thus shortening the time from proof of concept to implementation.Professional IDC has become the foundation for stably running AI models with cooling, power, network, and cybersecurity all in placeTsai noted GIT chose a professional IDC to deliver stable AI services and trusted commitment. Credit:GITThe biggest difference between AI servers and regular servers is their power consumption, heat generation, and bandwidth requirements. "It would be very hard to let corporate customers feel at ease if we kept our servers at the company and managed them ourselves." Tsai Pei-Ying, IT Manager at the Head Office of GIT, got straight to the point: AI requires a trustworthy environment to ensure stable, high-performance, and secure processing.Therefore, GIT set the goal to relocate into a professional IDC, and evaluated five key criteria: Is the power supply stable? Is the temperature under control? Is the bandwidth adequate and is the latency acceptable? Is cybersecurity good enough? Is the quality of professional services reliable? GIT evaluated numerous service providers, focusing on their ability to operate at full capacity for extended periods of time without interruption, as well as their scalability, so that new businesses would not be slowed down by infrastructure limitations once launched."From our perspective, IDC is not just a place to house servers, it is the foundation that enables AI applications to run stably," said Tsai Pei-Ying. GIT delivers more than just AI, it delivers a comprehensive system integration service that encompasses equipment, data transmission, security, and maintenance, offering a total solution for AI implementation.From cold aisles to high bandwidth, the guardian safeguarding the stability of AI serversIn the end, GIT chose Chunghwa Telecom's IDC. "Chunghwa Telecom is able to fully meet all five of our requirements!" Tsai Pei-Ying pointed out that the instantaneous power consumption of a single AI server can reach up to 10 kW, so it has extremely high requirements on the stability of power supply.Chunghwa Telecom's IDC has a complete power and temperature control plan in place to ensure that servers can operate safely for extended periods of time. Using environmental control as an example, AI servers need to operate between 10 and 35 degrees Celsius, so Chunghwa Telecom specially designed "cold aisles" for faster heat dissipation and cooling to maintain optimal conditions for equipment.AI applications impose equally astonishing demands not only on power and cooling, but also on bandwidth. Using AI image inspection as an example, the size of a high-resolution image can reach several hundred megabytes, so high network latency can greatly lower the efficiency of training and inference. Chunghwa Telecom's IDC provides high bandwidth capable of instantly meeting massive data transmission demands, ensuring that customer services are not interrupted.In terms of cybersecurity, Chunghwa Telecom has worked closely with GIT to tailor cybersecurity solutions. From hardware firewalls to "cybersecurity fleet" solutions, the comprehensive protection mechanisms not only allow GIT to provide AI services without any concerns, but also lay the foundation for future expansion."Chunghwa Telecom offers highly competitive one-stop services that have saved us great effort in resource integration." Manager Tsai Pei-Ying was straightforward when explaining the main reason why the company made the decision: They have never had to worry about the quality of Chunghwa Telecom's operation and maintenance. The value of providing one-stop services has been proven again and again in actual operations: All requests, no matter the scale, can be handled at a single window.The top-tier quality of the IDC's operation and maintenance has made GIT more confident in its future developmentThe services of Chunghwa Telecom's IDC have gained the trust and confidence of GIT ever since it became a tenant. Stability is the top priority. In addition, the density of Chunghwa Telecom's resources across multiple locations throughout Taiwan and its backbone network allows service nodes to be located closer to demand, achieving lower latency and greater stability.GIT is currently focused on assisting the manufacturing industry in developing scenarios for implementing AI, such as image defect detection, automated quality monitoring, and digital twin systems. With the support of stable computing capacity provided by the IDC, these AI applications will be able to move on from proof of concept to become a part of routine operations, gradually becoming the new normal for smart manufacturing.Trust is key: Let a professional IDC handle strategic infrastructureWang Sin-Siang, Vice General Manager of GIT (right), and Tsai Pei-Ying, IT Manager of GIT (left).Credit:GITFrom the perspective of GIT, the AI application verification platform is not a short-term project. It is a long-term strategic direction to be simultaneously carried out by the manufacturing industry. Stable, flexible, and secure infrastructure is the key to letting enterprises experiment with AI and not be priced out by the initial cost."Trust" is the key that makes all of this possible. As mentioned by Manager Tsai Pei-Ying, moving into a professional IDC is a necessary condition. Letting a team that understands data centers, networks, and operation and maintenance provide capital-intensive infrastructure is the only way AI will have a chance to move forward from technical projects to a stable part of routine operations. Chunghwa Telecom's one-stop, single window is a catalyst for reducing friction and accelerating development. Stability, predictability, and scalability are what give customers peace of mind.With the strong support of Chunghwa Telecom's IDC, GIT is driving the rapid adoption of AI in the manufacturing industry. When AI is no longer an experiment and is fully embedded into production processes, Taiwan's AI-enabled manufacturing industry will be able to move towards a replicable and sustainable future.Learn more about Chunghwa Telecom's IDC solutions.

The semiconductor sector demands stringent security and cybersecurity standards; any lapse may compromise brand reputation and operational integrity. Conventional surveillance still encounters challenges, such as the inability to analyze extensive camera footage in real time, reliance on manual risk inspections, and the tendency for most incidents to be investigated retrospectively, despite the establishment of stringent management systems.From passive monitoring to proactive protectionASUS IoT's AISEHS intelligent image-detection platform employs AI technology to convert image data into actionable insights, assisting prominent Taiwanese semiconductor manufacturers in transitioning from passive security management to proactive prevention, thereby initiating a new era of intelligent security in the manufacturing sector.Delfina Shih, Product Manager of ASUS AI Solution Business Unit, stated that semiconductor facility safety management is primarily passive, with current operations dependent on post-event verification procedures. The widespread deployment of CCTV cameras at every site usually impedes the attainment of comprehensive and real-time surveillance, resulting in human fatigue-related errors. The absence of data-driven management tools makes it impossible for employees to undertake trend analysis or optimize SOPs.Secure, compliant, and seamlessly integratedThe AISEHS platform adheres to the rigorous standards and operating requirements of the semiconductor sector. AISEHS employs a multi-tiered access control system to ensure that each department can access only relevant data, hence preventing interdepartmental information breaches. Deployment architecture includes pure cloud, hybrid cloud, and pure on-premises to fulfill the security compliance requirements of various companies. Furthermore, automated deployment procedures and quick model iteration approaches ensure that system updates do not disrupt on-site operations. The platform simplifies integration with existing client's video-management system (VMS), incident management, and internal communication systems This significantly improves management efficiency by enabling the detection, reporting, and resolution of security issues within a unified environment.AI-driven detection and instant responseThe AISEHS platform provides critical detection capabilities, such as the identification of personal protective equipment (PPE), which speeds up the assessment of an employee's proper use of safety equipment. Virtual fencing detection effectively prevents unauthorized entry into risky areas, whereas hazardous behavior detection monitors high-risk operations, such as maintenance or climbing, and automatically checks compliance with safety procedures. The system also includes a real-time notification mechanism that immediately alerts relevant personnel when abnormalities are detected and provides video clips to help quickly locate and address issues. In order to facilitate management decision-making, the data dashboard presents contractor performance assessments, risk locations, and event patterns. In addition, the platform enables clients to integrate their own models to enhance applications and fully capitalize on their current AI investments, thereby facilitating the incorporation of third-party AI models.AISEHS facilitates global deployment by leveraging four important technologies to address the transnational operating needs of semiconductor businesses. Firstly, the RTSP streaming protocol facilitates the quick integration of surveillance devices from many manufacturers,  achieving real-time image acquisition and AI identification. Secondly, multi-tenant management makes it easier to construct autonomous tenants based on factory zones or companies, as it ensures unique data permissions and reduces interference. Thirdly, the AI task-scheduling method allows for the definition of detection intervals, with models activated only when necessary to maximize computational resources. Lastly, custom detection logic can run multiple AI models simultaneously, such as personnel counting and helmet detection, which improves implementation efficiency and lowers customization costs. Empowered by a software-defined surveillance approach,  firms will be able to balance centralized administration with localized flexibility in global operations, resulting in a consistent level of safety regulation.Delfina stated that a key advantage of AISEHS is the thorough use of existing infrastructure. The platform may be integrated easily into existing CCTV systems and network infrastructures, eliminating the need for rewiring or the purchase of new equipment. The installation process does not disrupt ongoing surveillance operations. Compared with traditional system overhauls that may take months, AISEHS requires only a security assessment of the existing platform, thereby shortening the deployment time to 2-3 weeks and enabling the transformation of conventional surveillance systems into AI-enhanced smart security frameworks.Proven performance and measurable gainsA semiconductor leader has reported positive outcomes one year after deploying the ASUS AISEHS platform. On-site worker self-discipline has increased significantly, resulting in an 82% reduction in risk occurrences thanks to AI-powered real-time monitoring and event retrospective capabilities. The AI electronic fencing provides automatic nighttime surveillance, resulting in an annual labor cost savings of about US$400,000 per sentry. Scheduling approaches and computational resource monitoring enabled more accurate allocation of GPU/CPU computing capability, resulting in a 83%  reduction in resource consumption. Operational efficiency has increased dramatically, with event processing time reduced from 30-60 minutes of cross-system manual confirmation to less than five minutes for confirmation and response. The AI model's accuracy exceeds 90%, while the actual operating error rate is less than 1%.Expanding toward intelligent, industry-wide protectionASUS IoT is making a concerted effort to enhance the functionality and scope of its AISEHS platform in order to align with its future objectives. New modules, including behavioral-anomaly detection and SOP execution analysis, will be incorporated in the future, transforming it from a security management system to a comprehensive intelligent platform for operational security and production stability. The platform will include an MLOps module to comply with cybersecurity and data sovereignty regulations. This module will enable customers to complete the entire lifecycle of data annotation and model training on-site, thereby accomplishing the objective of data remaining at the factory, and models autonomously upgrading.ASUS IoT has also initiated discussions with industries such as energy, metal refining, and petrochemicals to assess the potential for extended use of the technology in field applications.  Delfina noted that ASUS IoT intends to build AI as a basic technology for operational protection and risk prevention, strengthening security management mechanisms with a smart and efficient system.Credit: ASUS

HOLTEK Semiconductor, a leading professional microcontroller IC design company, will host its 2025 Online New Product Presentation on December 4th. This year's event will center on the theme of "Empowering Intelligence for Sustainable Development," integrating smart control and edge computing to build a comprehensive smart living application ecosystem. The thematic application areas cover: smart living and IoT, green energy, Edge AI, Arm Cortex MCUs and peripheral ICs, HT32 development tools, and other cutting-edge technologies and products.HOLTEK Semiconductor provides customers with highly integrated, competitive products and solutions that offer enhanced user experiences, enabling rapid design implementation and mass production. We continue to deliver leading-edge advantages to our customers and partners. We warmly invite both existing and new clients to attend and provide valuable feedback.Register now by visiting the link or scanning the QR code.