Global Unichip Corp. (GUC), the advanced ASIC leader, today announced the successful demonstration of a 12 Gbps HBM4 IP platform implemented on TSMC's 3nm process technology at the Partner Pavilion of the TSMC 2026 North America Technology Symposium. The platform features GUC's in-house full functional HBM4 Controller and PHY IP, integrated with a partner's HBM4 memory, and used TSMC's industry-leading CoWoS advanced packaging technology.GUC's previous-generation HBM3E PHY and Controller, deployed in customers'3nm products, have achieved speeds 15% above specification in production. JEDEC continues to drive an aggressive HBM roadmap, increasing memory throughput and capacity while further doubling the data bus width in HBM4. Comparing with HBM3E, GUC's HBM4 IP delivers 2.5x bandwidth, while improving power efficiency by 1.5x and area efficiency by 2x.In line with GUC's previous HBM, GLink, and UCIe IP solutions, the HBM4 IP integrates proteanTecs' interconnect monitoring solution to provide high visibility for PHY testing and characterizing, while enhancing in-field performance and reliability for end products.To address the growing demand for 3DIC architectures, GUC's HBM4 PHY also supports a face-upconfiguration, enabling integration with TSMC's SoIC face-to-face technology. The PHY macrointegrates TSVs for PHY's I/O signals, power, and ground connections, and also reserves TSVs forpower feedthrough to the top die, supporting the power distribution requirements of the upper logic die."We are proud to be the first company to demonstrate a 12 Gbps HBM4 IP to customers at theTSMC Symposium" said Igor Elkanovich, CTO of GUC. "Together with GUC's UCIe and GLink-3D IPs, we offer a complete 2.5D/3D IP solution for modern 3.5D system architectures, includingTSMC SoIC-X on CoWoS."For more information,please visit our website.12 Gbps Eye Diagram. Credit:Guc

Tracking devices play a critical role in the Internet of Things (IoT) by enabling real-time monitoring and data collection across various industries. As IoT applications expand, the demand for energy-efficient solutions becomes increasingly important. This article explores the rise of battery-efficient tracking devices and their transformative impact on IoT ecosystems.Advancements in Tracking DevicesTracking devices first emerged with the advent of GPS technology, revolutionizing location-based services. Early applications were limited, but as the Internet of Things (IoT) grew, tracking devices expanded into sectors like logistics, agriculture, and personal safety, offering real-time monitoring.However, traditional devices faced challenges like short battery life and high maintenance costs. To address these issues, advancements in energy-efficient technologies, such as low-power wireless communication and optimized sensors, led to the development of battery-efficient models. These innovations have paved the way for longer-lasting and cost-effective tracking devices that are essential for the expanding IoT landscape.How Battery-Efficient Technology WorksBattery-efficient tracking devices use low-power wireless technologies like LoRaWAN, NB-IoT, and Bluetooth Low Energy (BLE) to enable long-range communication with minimal power consumption. Sleep modes, energy harvesting techniques (such as solar or kinetic energy), and ultra-low-power processors help extend battery life.Advances in sensor technology allow these devices to collect accurate data while consuming less energy. For example, a GPS trailer tracking uses these technologies to provide long-lasting performance to ensure reliable location tracking without frequent recharging. This makes it ideal for industries like logistics that require continuous monitoring with energy-efficient solutions.Impact on IndustriesBattery-efficient tracking devices have a significant impact across various industries:In logistics and fleet management, they reduce maintenance costs and extend tracking durations for vehicles.In agriculture, smart farming solutions leverage these devices to monitor livestock and machinery with minimal energy consumption.Personal safety benefits from wearable devices that track health and location, requiring less frequent charging.Additionally, the environmental impact of these devices is profound, as longer-lasting batteries help reduce waste and the environmental concerns associated with battery disposal.Benefits Over Traditional Tracking DevicesBattery-efficient tracking devices offer several key advantages over traditional models. Longer operational life is a major benefit, as these devices can run for months or even years on a single charge, reducing the need for frequent recharging or battery replacements. This is especially valuable in remote or hard-to-reach locations.Additionally, reduced maintenance requirements lower operational disruptions, as there’s less need for battery changes or regular maintenance. Lower operational costs are another advantage, with businesses saving on battery replacements and charging infrastructure.Lastly, increased accessibility and scalability enable businesses to deploy more devices across large-scale operations, such as fleet management or asset tracking, without incurring high costs. These benefits make battery-efficient tracking devices an essential solution for industries looking to optimize their IoT networks and reduce long-term costs while enhancing operational efficiency.EndnoteBattery-efficient tracking devices are playing an important role in making IoT systems more sustainable and practical. As technology continues to improve, these devices will become even more integrated into various industries, helping to streamline operations and reduce energy consumption. The ongoing development in this area promises a future where tracking solutions are efficient and cost-effective. 

 SK hynix Inc. (or "the company", www.skhynix.com) announced today that it has begun mass production of the 192GB SOCAMM2, a next-generation memory module standard based on the 1cnm process (sixth-generation of the 10-nanometer technology) LPDDR5X low-power DRAM.SOCAMM2 is a module that adapts low-power memory – which was previously used mainly in mobile products like smartphones – for server environments. It is designed to be a primary memory solution for next-generation AI servers.SK hynix emphasized that the 1cnm based SOCAMM2 product that is now in mass production delivers more than double the bandwidth with over 75% improved power efficiency compared to conventional RDIMM, providing an optimized solution for high performance AI operations.In particular, the company noted that its SOCAMM2 products are designed for NVIDIA Vera Rubin platform.SK hynix expects the new SOCAMM2 product will fundamentally resolve the memory bottlenecks encountered during the training and inference of large language model (LLM) with hundreds of billions of parameters, thereby playing a pivotal role in dramatically accelerating the processing speed of the overall system.The company stated that with the AI market shifting focus from inference to training, SOCAMM2 is gaining significant attention as a next-generation memory solution capable of operating LLMs with low power consumption. To meet the demands of its global Cloud Service Provider (CSP) customers, SK hynix has not only been providing a supply portfolio, but also stabilized its mass production system early on."By supplying the 192GB SOCAMM2, SK hynix has established a new standard for AI memory performance" Justin Kim, President & Head of AI Infra (CMO, Chief Marketing Officer) at SK hynix said. "We will solidify our position as the most trusted AI memory solution provider, through close collaboration with our global AI customers."SK hynix 192GB SOCAMM2, high-bandwidth and power-efficient. Credit: SK hynix