Seoul, December 18, 2025 – SK hynix Inc. (or "the company", www.skhynix.com) announced today that it has become the first in the industry to complete the Intel Data Center Certified process to apply 256GB DDR5 RDIMM1 - a high capacity server module based on 32Gb fifth-generation 10nm-class (1b) DRAM - to Intel Xeon 6 platform.As an Intel Data Center Certified system/platform, 256GB DDR5 RDIMM has completed extensive testing and rigorous validation by Intel's Advanced Data Center Development Laboratory, and is now the industry's first server module verified to provide reliable performance, compatibility and quality when combined with Intel Xeon processors. SK hynix has previously obtained similar validation in January this year for its 16Gb fourth-generation 10nm-class (1a) die-based 256GB product.By becoming the first in the industry to validate compatibility with Intel's latest server platform, SK hynix is demonstrating technological leadership in high-capacity DDR5 modules. Based on this, the company will expand cooperation with major global data center operators and continue to lead the next-generation memory market in response to rapidly increasing demand from server customers.In this new AI-driven infrastructure environment, memory has emerged as a critical determinant of performance. As AI inference models evolve beyond generating simple response to performing complex logical processes, the volume of data that must be processed in real time is growing exponentially. To manage these massive data sets swiftly and reliably, high-capacity and high-performance memory has become indispensable - driving a sharp increase in market demand.The company anticipates its latest product to be the ideal solution to meet this growing demand. Servers equipped with the new module deliver up to 16% higher inference performance compared with those using 32Gb die-based 128GB products. In addition, by utilizing 32Gb DRAM chips, the design achieves up to approximately 18% lower power consumption than previous 256GB products based on 16Gb 1a DRAM. With this improved power efficiency and outstanding performance per watt, the company expects strong interest from data center customers."We are now able to respond more swiftly to customer needs, solidifying our leadership in the server DDR5 DRAM market. As a full-stack AI memory creator, we will actively address the growing demand for high-performance, low-power, and high-capacity memory solutions to further enhance customer satisfaction." said Sangkwon Lee, head of DRAM Product Planning & Enablement at SK hynix."This achievement represents the culmination of collaborative engineering efforts across Intel and SK hynix and demonstrates our shared commitment to advancing memory technology. The high-capacity module addresses the increasingly demanding requirements of capacity-hungry workloads of AI applications, enabling our customers to unlock new levels of performance and efficiency in their data center operations," said Dr. Dimitrios Ziakas, VP of Platform Architecture, Intel Data Center Group.

Taipei As generative AI, software-defined vehicles, and intelligent automation accelerate in parallel, semiconductors are shifting from component suppliers to a critical foundation for intelligent systems in the physical world. At the recent 2025 NXP Technology Summit held in Taipei, NXP had focused on three major application pillars, AI, IIoT, and automotive electronics, working closely with Taiwan industry partners to bring smart technologies into real-world deployments.NXP as a System Platform Enabler Building a New Foundation for Smart Applications with AI × Edge × SDVRobert Li, Executive Vice President and General Manager of BL Greater China for NXP Semiconductors, noted in his keynote that the semiconductor industry follows a ten-year growth cycle, from PCs and smartphones to the current wave driven by automation, cloud computing, and Edge AI.By 2030, the market is expected to reach USD1.3 trillion. As data generated by edge devices continues to surge, sending everything back to the cloud would create bottlenecks in bandwidth, energy consumption, and latency, making real-time decision-making difficult. As a result, AI must move from the cloud to the edge.He further pointed out that AI is evolving from perceptual and generative stages toward a new era of Agentic AI and Physical AI, with applications in factories, autonomous driving, robotics, and energy systems at scale. To address this shift, NXP has transformed from a chip supplier into a system-level platform and ecosystem provider, integrating compute, connectivity, power, and security architectures. Through key acquisitions such as TTTech Auto, Aviva Link, and Kinara, NXP has strengthened its SDV(software-defined vehicles) and Edge AI capabilities while deepening Taiwan's strategic role in global R&D and application deployment.Stefan Poledna, CEO and CTO of TTTech Auto, stated that after joining NXP, TTTech Auto can more efficiently drive SDVs from concept to production-ready, system-level implementation. With more than a decade of experience in automotive software, system integration, and functional safety, the company has built a team of nearly one thousand engineers. Its software has been deployed in over five million vehicles, with more than sixteen million project instances under ongoing development, serving major automakers across Europe and Asia.Its capabilities span SDV core software, functional safety and cybersecurity services, as well as hardware reference designs supporting heterogeneous multi-chip architectures. These are deeply integrated with NXP automotive platforms to enhance overall system scalability. Based on this architectural approach, TTTech Auto has contributed its technical strengths to the NXP CoreRide system-level platform.As generative AI, intelligent automation, and vehicle electrification continue to advance, global computing is shifting from the cloud back toward edge nodes closer to real-world environments, driving devices from being merely connected toward becoming autonomous. Luca Difalco, Senior Vice President of Global Channel Sales and Industrial Solutions at NXP Semiconductors, noted that the industry is moving from smart devices to autonomous intelligent edge systems with sensing, reasoning, and action capabilities. Where early devices relied on cloud-based decision-making, today's systems can perform AI inference at the edge under low power conditions and respond in real time, enabling truly deployable intelligent applications.In this context, he explained that NXP's core mission is not to expand cloud computing power, but to build Intelligent Nodes that can be deployed at scale, allowing AI to be realized in vehicles, factories, buildings, and healthcare environments. The value of AI lies not in model size, but in whether edge systems can perform timely inference and take the right actions. However, Edge AI involves sensing, power, security, connectivity, and data management, making integration far more complex than traditional embedded design.To address this, NXP adopts a modular, stackable architecture to simplify complexity and has established a tiered hardware platform spanning MCX and S32K MCUs to i.MX MPUs, gateways, zonal, and central compute, combined with Kinara NPUs for smooth scalability based on performance needs. On the software side, NXP provides a unified development workflow through eIQ and Time Series Studio, enabling even non-AI specialists to deploy models quickly, while building trusted AI foundations with Root of Trust, Secure OTA, post-quantum cryptography, and AI bias detection.Industrial IoT and Smart Mobility Tracks Reveal the Complete Path to AI DeploymentBeyond the keynotes, the summit featured two major tracks, Smart Industrial and IoT and Smart Mobility, led by NXP technical experts. These sessions comprehensively showcased NXP's technology roadmap across edge computing, connectivity, security, and AI, linking industrial, IoT, and automotive applications and illustrating the full evolution of future intelligent systems from perception to inference and action.The Smart Industrial and IoT track began by outlining how the industrial market is rapidly shifting from automation toward software-defined systems. Equipment now requires real-time computing, reliable connectivity, and higher energy efficiency to support the long-term evolution of smart factories and intelligent infrastructure. The NXP team further analyzed its MCU, MPU, connectivity, and AI NPU portfolio, demonstrating how scalable modular architectures reduce integration complexity and enable developers to move from design to deployment in shorter timeframes.In AI applications, NXP showcased practical deployments of generative and autonomous AI in industrial control equipment and IoT nodes, enabling devices to collect data, perform inference, and make on-site decisions without relying on the cloud. Experts also introduced next-generation intelligent power solutions that improve system efficiency and operational reliability, along with NXP's latest wireless connectivity technologies that ensure stable communication in high-noise, large-scale industrial networks. Applications span medical devices, smart buildings, humanoid robots, and industrial automation, all centered on edge computing, sensor fusion, and high-reliability connectivity.Finally, the team presented a comprehensive Edge Lock security strategy, providing protection from system boot to data exchange, covering OTA updates, helping enterprises maintain long-term trusted security foundations while scaling IoT deployments.In the Smart Mobility track, NXP brought together experts in automotive electronics, connectivity, and AI to provide an in-depth analysis of smart mobility trends and system architectures. The session began with market insights into the acceleration of vehicle electrification, electronics integration, and software-defined vehicles, followed by NXP's holistic solutions across sensing, control, connectivity, and security.New-generation automotive platforms such as S32K5 and CoreRide were then introduced, highlighting how scalable architectures, functional safety, and software reusability support rapid SDV iteration. As AI continues to penetrate in-vehicle edge nodes, experts demonstrated edge inference applications in driver monitoring, environmental perception, and behavioral decision-making, and explained how i.MX processors combined with wireless connectivity are advancing in-vehicle infotainment and intelligent cockpits.To address vehicle connectivity and high-speed data exchange demands, the session also explored the latest automotive Ethernet roadmaps and the high bandwidth and low latency advantages enabled by NXP's 10Gbps Ethernet switches. On electrification, X-in-1 integration solutions and 48V power conversion technologies were presented, underscoring the importance of efficient power management in future EV architectures. Overall, the track covered computing, connectivity, AI, security, and power architectures in a comprehensive manner, defining NXP's core position and forward-looking vision within the smart mobility ecosystem.In addition to keynote and technical sessions, the summit featured more than seventy technology showcases from NXP, ecosystem partners, and sponsors, helping customers understand market trends while gaining deeper insight into how NXP enables the real-world deployment of advanced technologies.In summary, NXP demonstrated how edge intelligence moves from concept to large-scale deployment through comprehensive computing platforms, trusted security architectures, and cross-industry application examples. Whether in industrial IoT, smart mobility, or emerging autonomous systems, the key lies in bringing AI into real-world environments with higher efficiency, lower power consumption, and greater predictability. As Taiwan's influence across technology and ecosystem value chains continues to grow, NXP will keep working closely with local partners to drive the next phase of global edge intelligence adoption.Credit: NXP

As artificial intelligence (AI) and edge computing continue to accelerate worldwide, industrial displays are undergoing a significant transformation. Once regarded merely as passive terminals for visual output, displays have now become intelligent interfaces that connect human–machine interaction, data visualization, and real-time decision-making across diverse smart environments. From collaborative robots and medical systems to EV charging stations, automated factory lines, and self-service kiosks, industrial displays increasingly serve as the first point of contact between AI-driven systems and users, directly influencing operational efficiency, system reliability, and brand perception.Multi-Scenario Demand Accelerates Industrial Display EvolutionAcross factories, medical equipment, and retail environments, the role of industrial displays has expanded far beyond simple information presentation. Autonomous mobile robots and unmanned transport vehicles rely on displays for real-time navigation feedback. Medical diagnostic equipment requires precise visualization to support AI-assisted analysis. Self-service kiosks integrate touch interfaces, sensing, user identification, and edge computing to deliver responsive, data-driven interaction.  According to Roger Ma, Director of Advantech's Industrial Display Solutions Business Unit, industrial sectors exhibit vastly different display requirements. Medical environments demand high accuracy and easy-to-clean designs; outdoor EV charging stations require high brightness and durable weather-resistant builds; robotics and automation systems prioritize responsiveness, stability, and seamless user interaction. These increasingly differentiated use cases are driving industrial displays toward greater flexibility, durability, and customization—creating new growth momentum for the market.Sector-Driven Strategy Accelerates Customization and InnovationAs industrial applications become more complex, a key challenge is integrating display hardware with edge AI, image processing, and intelligent computing. Backed by extensive cross-industry expertise, Advantech adopts a sector-driven strategy, enabling the company to deeply understand the operational challenges of autonomous systems, robotics, factory automation, medical diagnostics, and retail environments. This approach allows Advantech to deliver display solutions tailored to specific industry demands and expedite deployment.Roger Ma pointed out that a major competitive strength lies in Advantech's Design To Order Service (DTOS) capabilities. Its in-house R&D teams cover the entire design spectrum, including mechanical and optical engineering, electronic and software development, touch-bonding integration, assembly precision, and picture-quality tuning. This vertically integrated capability enables stronger quality control and significantly accelerates development cycles.Advantech further enhances customer responsiveness through agile supply chain management and regional manufacturing, enabling rapid customization and efficient adoption of new technologies such as miniLED backlighting. Looking forward, the company is advancing the integration of edge-AI capabilities directly into displays, including embedded cameras, microphone arrays, and sensor modules to support intelligent video conferencing, AI-enabled recognition, and real-time decision-making. With these advancements, displays are evolving into intelligent front-end nodes capable of analysis rather than merely presentation.AI-Enabled Applications: Real Deployment across Factory and Retail EnvironmentsAdvantech's industrial display technologies are already demonstrating real-world impact across multiple vertical markets. In robotic palletizing systems, Advantech's 12.1-inch WXGA (1280 × 800) industrial display serves as the primary interface for complex robotic operations. Offering 400-nit brightness, wide 160/160° viewing angles, and responsive PCAP touch, the display ensures clear visibility and intuitive control even in demanding factory environments.For real-time information visibility on the production line, Advantech deployed the 55-inch VUE-55 digital signage solution, configured as a 2×2 video wall to create a 110-inch large-format display. With a robust design supporting 50,000 hours of LED lifetime and 24/7 continuous operation, the solution delivers reliable performance for critical factory data.In retail environments closely connected to consumers' daily lives, Advantech's technologies also play a critical role. The 850-nit high-brightness, optically bonded IDP31-101W display enhances the touch experience and durability of intelligent cleaning robots. Meanwhile, the VUE-2238 anti-glare touch display provides flexible landscape and portrait installation options for self-service ordering kiosks and hotel counters. Its IP65 front-panel water- and dust-resistant design, along with its color accuracy, not only improves product reliability but also effectively strengthens brand image.Global Reach and Cross-Platform Integration as Key AdvantagesDisplays serve as the critical bridge connecting humans and machines, as well as data and decision-making. In the era of AI and edge computing, industrial displays are shifting from simple information output devices to core interfaces that drive digital transformation and create business value. According to Roger Ma, the competitiveness of Advantech's display product line stems from the company's unique strengths, including its expertise in multi-platform system integration and its extensive cross-industry experience. These capabilities enable Advantech to deliver complete solutions that go beyond standard display products and integrate seamlessly into customers’ overall application ecosystems.Looking ahead, Advantech will continue to provide high-reliability, rapid-deployment intelligent display solutions for global customers. With stronger edge-AI integration and enhanced customization capabilities, the company is poised to lead industrial displays into a new stage of development.Advantech's Industrial Display Solutions.Credit: Advantech