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

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

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

EDOM Technology (TWSE: 3048), Asia's best solutions partner, will participate in NVIDIA GTC for the third consecutive year under the theme "From AI to Action: Physical AI in Motion." Together with ecosystem partners, EDOM will showcase its latest AI computing platforms, key components, and system integration capabilities. At Booth #242, EDOM will present physical AI and robotics solutions powered by NVIDIA Jetson hardware and software resources, demonstrating how AI technologies are being developed and deployed across diverse fields such as smart healthcare, vision recognition, and speech understanding. The showcase will highlight EDOM's capability to connect the AI ecosystem and accelerate industry innovation through integrated solutions.During the GTC exhibition, EDOM Technology plans to demonstrate several innovative applications that combine physical AI with edge computing. With the introduction of the NVIDIA Jetson Thor, AI inference and control architectures can now be integrated into a single system, providing a high-performance computing foundation for real-time closed-loop control and multimodal sensing, and accelerating the real-world deployment of multimodal intelligent robots.In the robot interaction showcase, EDOM collaborates with Algoltek to present "Dexterous Hand AI."Powered by 4D AI Vision technology and vision-action models, the system can recognize and predict audience hand gestures in real time and respond accordingly. This demonstration highlights low-latency AI inference and instant feedback, while also presenting a complete Sim-to-Real workflow, from virtual simulation to physical deployment. EDOM also partners with Nexuni to present "AI Workforce: Embodied Intelligence." Built on the NVIDIA Thor platform, the system enables dual-arm robot manipulation through few-shot learning. The demonstration shows a service robot performing household tasks, including object recognition, grasping, and fabric folding. Because fabric is a highly deformable material, handling it requires complex visual perception, state estimation, and coordinated dual-arm control. By leveraging Jetson Thor's edge AI inference and real-time dynamic path correction, the system continuously adjusts its movements during the folding process, improving task success rate and operational stability. This highlights the potential of physical AI in smart manufacturing, human-robot collaboration, and service robotics.In the area of enterprise AI and smart biotech applications, EDOM collaborates with Avalanche Computing to showcase the "Secure Offline Generative AI" platform. Combining enterprise-grade private LLMs with real-time speech intelligence, the platform runs on the NVIDIA Jetson edge platform, enabling low-latency offline speech recognition and semantic analysis. This allows generative AI to deliver real-time interaction within highly secure enterprise environments. EDOM is also working with CyteSi to present the "Software-Defined High-Throughput Wet Lab," an AI-driven laboratory automation platform. CyteSi's EWOD (Electrowetting-on-Dielectric) technology digitally controls micro-droplets with precision, supporting workflows such as NGS sample preparation, drug discovery, and synthetic biology research. The system uses NVIDIA Jetson as its edge computing core, integrating biochips from Japan Display Inc. (JDI) with real-time image analysis capabilities to provide an intuitive user interface and highly efficient experimental workflow, advancing AI adoption in smart biotech research and automated laboratories.In addition, EDOM will showcase the "NVIDIA Jetson Thor Peripheral Ecosystem," integrating a range of EDOM-certified peripheral components, including high-speed storage, Wi-Fi 6/6E and 5G communication modules, GMSL and MIPI cameras, 10G high-speed networking, sensors, camera modules, and high-speed I/O interfaces. This ecosystem helps developers rapidly build next-generation robotics and physical AI systems. Through comprehensive hardware integration and platform support, EDOM assists robotics developers in accelerating product design, deployment, and mass production, further expanding the physical AI and Jetson Thor ecosystem.Jeffrey Yu, CEO of EDOM Technology, stated, "The key to physical AI lies not only in computing performance, but in comprehensive hardware–software integration and ecosystem collaboration. Through NVIDIA's Three-Computer architecture and the Jetson Thor platform, we help customers build scalable, production-ready, end-to-end AI solutions - from model training and simulation validation to edge deployment." He further noted that EDOM is not just a hardware supplier, but is committed to integrating peripheral modules, AI software frameworks, and partner resources to help enterprises accelerate the adoption of AI and robotics technologies.EDOM Technology invites industry professionals, developers, and partners to visit Booth #242. Attendees are also welcome to check out the in-person session featuring Wilson Yen, Product Director at EDOM. The talk explores how EDOM leverages NVIDIA "Three Computers" architecture to help enterprises transform AI models into real-world applications, covering key domains such as computer vision, robotics, and edge AI. Participants are encouraged to add this session to their personal GTC schedule to experience firsthand the innovation of physical AI in action, and to explore the future of intelligent robotics and edge AI. Register now through EDOM's dedicated link to enjoy special GTC Conference registration offers. 

SK hynix Inc. (or "the company", www.skhynix.com) announced today that it is participating in GTC 2026, held from March 16 to 19 in San Jose, California. NVIDIA GTC is the global AI conference where business leaders and developers gather to share the latest breakthroughs and future trends in AI and accelerated computing.SK hynix memory solutions are designed to minimize data bottlenecks and maximize performance for both AI training and inference in NVIDIA AI infrastructure. Through its participation in GTC 2026, the company plans to demonstrate its competitive edge in memory technology - the core infrastructure of the AI era.Under the theme 'Spotlight on AI Memory,' SK hynix will feature an exhibition space dedicated to the AI memory technologies and solutions. The booth will consist of three main areas: the NVIDIA Collaboration Zone, the Product Portfolio Zone, and the Event Zone. The exhibition is designed around interactive content to provide visitors with an intuitive understanding of AI memory technology.The NVIDIA Collaboration Zone, located at the entrance, is the centerpiece of the exhibition, highlighting the synergy between SK hynix and NVIDIA. The company will display the memory configuration mounted on GPU-based AI accelerators through physical models and actual hardware, focusing on the actual application of SK hynix's memory products such as HBM4, HBM3E, and SOCAMM2 designed for NVIDIA AI platforms.Notably, the company will showcase a liquid-cooled eSSD developed in collaboration with NVIDIA, along with an NVIDIA DGX Spark, desktop AI supercomputer equipped with SK hynix's LPDDR5X.In the Product Portfolio Zone, visitors can view a comprehensive lineup of memory products engineered for the AI era. This includes the infrastructure-essential HBM4 and HBM3E, as well as high-capacity server DRAM modules, LPDDR6, GDDR7, eSSD, and Automotive Solutions.An interactive environment allows visitors to use joysticks to select products and view specific features and use cases on-screen, enabling them to explore and understand the technology at their own pace.The Event Zone offers a hands-on experience with an 'HBM 16-High Stacking Game.' By virtually stacking memory chips, participants can gain insight into the TSV (Through Silicon Via) process and high-stack packaging technology, fostering a deeper understanding of how high-performance AI semiconductors are manufactured.Throughout GTC 2026, SK hynix plans to explore future collaboration strategies aligned with current global AI trends. Key executives, including SK Chairman Chey Tae-won and SK hynix CEO Kwak Noh-jung, will meet with global tech giants to share insights on AI evolution and infrastructure shifts while discussing long-term strategic partnerships.The company will also host technical sessions to discuss the future of AI-driven manufacturing and the pivotal role of memory technology in achieving high-performance AI.SK hynix highlighted that as AI technology evolves, memory is transcending its role as a mere component to become a core element that determines the architecture and performance of the entire AI infrastructure. By applying its memory expertise across the entire AI spectrum - from data centers to on-device applications - the company aims to shape the future of AI alongside its global partners.HBM-GPU model shows SK hynix and NVIDIA AI collaboration. Credit: SK hynixSOCAMM2 and HBM4 on NVIDIA Vera Rubin Superchip. Credit: SK hynix

As global AI computing platforms continue to evolve toward higher density, increased power demands, and rack-scale integration, Chenbro unveiled its latest AI server chassis solutions at NVIDIA GTC 2026. The showcase features the NVIDIA MGX 1U Compute Tray for NVIDIA Vera Rubin NVL72 systems, along with a comprehensive product portfolio based on NVIDIA MGX architecture, demonstrating Chenbros integrated capabilities spanning system design, thermal optimization, and rack-level deployment.Building on its close integrations with the NVIDIA ecosystem, Chenbro presented multiple server chassis solutions designed in alignment with NVIDIA reference architectures and the NVIDIA MGX architecture. These solutions address high-density computing, liquid cooling technologies, and enterprise-grade deployment requirements, enabling cloud service providers(CSPs) and enterprise data centers to accelerate AI infrastructure deployment.NVIDIA MGX 1U Compute Tray for NVIDIA Vera Rubin NVL72- A New Standard for High-Density AI ComputingAs next-generation AI training and inference workloads continue to scale rapidly, data centers face increasing demands for space efficiency and advanced thermal design. At NVIDIA GTC 2026, Chenbro highlights the NVIDIA MGX 1U Compute Tray for Vera Rubin NVL72, engineered with optimized mechanical design and airflow management to deliver high-density computing within a 1U footprint. The solution is tailored for large-scale model training and high-performance inference applications.Chenbro also showcases:NVIDIA MGX 1U for NVIDIA GB200 NVL4, supporting high-performance inference and flexible deployment.NVIDIA MGX 2U Vera Server Chassis, offering enhanced scalability and enterprise-level integration options.Together, these solutions demonstrate Chenbro's system integration expertise under the NVIDIA MGX architecture framework.NVIDIA MGX Rack- Advancing from System Integration to Rack-Scale DeploymentAs AI infrastructure expands from individual systems to rack-scale environments, Chenbro highlights its integration capabilities based on NVIDIA MGX architecture. The company leverages its strengths in mechanical design and mass production to support the deployment of high-density AI computing environments in modern data centers.By closely aligning with NVIDIA reference architectures and the broader NVIDIA MGX ecosystem, Chenbro enables customers to extend from system-level builds to rack-level integration, accelerating scalable AI infrastructure deployment.NVIDIA MGX 6U Liquid-Cooled Server Chassis- Liquid Cooling for High-Power AI PlatformsIn response to power consumption and energy efficiency requirements for AI platforms, Chenbro presents the NVIDIA MGX 6U Liquid-Cooled Server Chassis. Designed to support high-power liquid-cooled deployment architectures, the solution enhances thermal efficiency and improves data center power usage effectiveness (PUE) through optimized mechanical and fluid management design, ensuring stable operations for next-generation AI data centers.Additional showcased solutions include:NVIDIA MGX 4U Air-Cooled Server Chassis and NVIDIA MGX 2U Short-Depth Server Chassis.These offerings provide flexible deployment options for enterprise server rooms and diverse application scenarios.Strengthening Global Footprint and AI Infrastructure CapabilitiesChenbro CEO Corona Chen stated that as AI applications continue to expand, market demand for high-density computing, liquid cooling, and rack-scale integration capabilities is rapidly increasing. Chenbro will continue deepening its collaboration within the ecosystem, strengthening its integrated R&D and manufacturing capabilities to help customers accelerate the adoption of next-generation AI platforms.                                                      With its global manufacturing footprint and localized service capabilities, Chenbro is committed to supporting diverse deployment needs across AI, HPC, and data center applications—driving sustained operational growth and industry competitiveness.At GTC 2026, Chenbro not only presents its product portfolio but is supporting NVIDIA AI platforms from system integration and thermal optimization to rack-scale deployment, enabling scalable AI infrastructure development worldwide.Chenbro supports diverse AI, HPC, and data center deployment needs. Credit: Chenbro