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

Amidst the reality of global oil prices continuously skyrocketing due to war, the global market is facing the formidable challenges posed by the turbulence impacting the global economy in 2026. Major Taiwanese electronics manufacturers and supply chains are pivoting to review comprehensive AI strategies. They are adopting a particularly aggressive stance in their strategic deployment of cloud server systems and AI infrastructure, aiming to achieve an operational breakthrough where the market outlook remains far from optimistic

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

XTPL (WSE:XTP), a developer of Ultra-Precise Dispensing (UPD) technology for nanomaterial deposition, has entered a strategic partnership with Manz Asia to support the development and commercialization of advanced semiconductor packaging applications.Under the partnership, XTPL will install a Delta Printing System in Manz Asia's  Semiconductor Innovation and R&D centre in Taoyuan, Taiwan, establishing a local capability for process development, testing, and validation. The facility will enable customers to evaluate specific applications and establish a pathway from prototype development to volume production.The partnership combines XTPL's proprietary dispensing technology with Manz Asia's expertise in advanced semiconductor manufacturing systems and process development. The collaboration will focus on joint engagement with third-party customers and the evaluation of application-specific commercial opportunities.XTPL's UPD technology enables highly controlled deposition of functional nanomaterials with feature sizes ranging from tens of micrometres down to below one micrometre. The technology is already qualified for high-volume production in display applications and is currently being evaluated for additional applications in advanced electronics, including inline manufacturing, multichip module packaging, and advanced electronic structures."I am delighted to start the partnership with Manz Asia - a company with a strong position and deep expertise in the semiconductor industry in Taiwan and Asia. It is only natural for us to work side by side with a partner who knows this ecosystem from the inside.The synergy between XTPL's unique ultra-precise dispensing technology and Manz Asia's competencies in advanced semiconductor packaging is a natural fit. That is precisely why I am confident this collaboration will translate into tangible business opportunities for both sides.," said Filip Granek, CEO of XTPL.Robert Lin, CEO of Manz Asia, added: "This strategic partnership with XTPL expands our printing capabilities into ultra-precise material deposition, enabling a wide range of advanced semiconductor applications. The technology supports both conductive and non-conductive materials across 2D, 2.5D and 3D substrates in diverse manufacturing scenarios.By combining XTPL's dispensing technology with Manz's automation and process integration expertise, we broaden our portfolio and provide more flexible manufacturing solutions, helping customers accelerate innovation and move efficiently from prototype to volume production."

Seoul, February 26, 2026 – SK hynix Inc. (or "the company", www.skhynix.com) and Sandisk Corporation held 'HBF Spec. Standardization Consortium Kick-Off' event at Sandisk Headquarters in Milpitas, California on the 25th(local time) announcing global standardization strategy of next-generation memory solution HBF(High Bandwidth Flash) aimed at the AI inference era.SK hynix said, "By making HBF an industry standard, together with Sandisk, we will lay the foundation for the entire AI ecosystem to grow together. A dedicated workstream under OCP1 will be launched with Sandisk to begin standardization work."Recently, the AI industry is shifting from training which focuses on creating Large Language Models (LLMs) to inference, which accelerates actual AI services to users.Fast and efficient memory is essential as the number of users using AI services increases rapidly. However, the existing memory structure cannot meet the high capacity data processing and power efficiency at the same time in the inference stage and HBF technology is designed to address these limitations.HBF technology is a new memory layer between ultra-fast memory, HBM and high-capacity storage device, SSD. HBF technology can fill the gap between HBM's high performance and SSD's high capacity and ensure both capacity expansion and power efficiency required for AI inferencing. While HBM handles the high level bandwidth, HBF technology serves as a supporting layer in the architecture.In particular, HBF technology is expected to reduce the total cost of ownership (TCO) while increasing the scalability of AI systems. The industry forecasts that the demand of complex memory solutions, including HBF, will pick up around 2030.In the AI inference market, the role of a total memory solution company that can provide both HBM and HBF is becoming more important as system level optimization of CPU, GPU, and memory determines the overall competitiveness rather than the performance of a single chip.In line with this, SK hynix and Sandisk are proactively pursuing HBF solution's standardization and commercialization based on their design, packaging and mass production experience in HBM and NAND."The key to AI infrastructure is to go beyond the performance competition of individual technologies and to optimize the entire ecosystem," said, Ahn Hyun, President and Chief Development Officer. "Through HBF technology standardization the company will establish a cooperative system and present an AI-era optimized memory architecture to create new value for customers and partners."

ASUS today announced ASUS Optimized Liquid-Cooling Solutions and a strategic partner framework designed to address the escalating thermal, power, and density challenges of next-generation AI and high-performance computing data centers.ASUS Optimized Liquid-Cooling Solutions for next-generation AI compute densityAs AI and HPC workloads push compute density and power consumption beyond the capabilities of traditional air cooling, optimized liquid-cooling solutions by ASUS will provide the critical thermal management required for the next-generation NVIDIA Vera Rubin NVL72 system based data centers. By efficiently dissipating heat from high-performance CPUs, GPUs, and accelerator-dense racks, ASUS significantly reduces energy consumption, lowers PUE, and optimizes TCO while supporting unprecedented rack density.ASUS Optimized Liquid-Cooling Solutions offer a comprehensive portfolio spanning direct-to-chip (D2C), in-row CDU–based cooling, and hybrid configurations, enabled through collaboration with global infrastructure leaders. Leveraging a strategic framework of partners – including Schneider Electric and Vertiv, alongside precision components from Auras Technology, Cooler Master, and other industry leaders – ASUS provides purpose-built cooling solutions that ensure optimal stability and performance at scale. With 2,156 No. 1 SPEC CPU records and 248 No. 1 MLPerf results, ASUS continues to demonstrate leadership in real-world compute density and AI performance.Real-world deployment: ASUS powers liquid-cooled AI supercomputer at NCHCA flagship example of liquid-cooling expertise by ASUS is its recent deployment for the National Center for High-performance Computing (NCHC) in Taiwan. The system features a dual-compute architecture, including the Nano4 NVIDIA HGX H200 cluster and NVIDIA GB200 NVL72 system  -  Taiwan's first fully liquid-cooled AI supercomputer deployment of this architecture.Designed and engineered by ASUS from the ground up, the system implements direct liquid-cooling (DLC) technology to achieve an exceptional power-usage effectiveness (PUE) of just 1.18. This deployment seamlessly integrates high performance with sustainable design, demonstrating the strength of ASUS in thermal and energy management for large-scale AI infrastructure.Join ASUS at GTC 2026ASUS announced its participation as a Diamond Sponsor (Booth #421) at NVIDIA GTC 2026 from March 16–19 in San Jose, USA. Under the theme Trusted AI, Total Flexibility, ASUS is collaborating with NVIDIA and global infrastructure giants to showcase a robust, next-generation liquid-cooling ecosystem. Come explore with us and witness the next evolution of AI infrastructure.