As the AI computing race accelerates and semiconductor manufacturing capacity is increasingly redirected toward advanced memory, the memory industry is shifting from price-driven competition to a battle over resource allocation and supply security. The rapid expansion of high-bandwidth memory (HBM) production continues to consume advanced fabrication capacity, constraining the supply of conventional memory products and creating persistent shortages across the market. This concentration of high-end production has widened the supply-demand gap, driving the average selling prices of certain premium memory products to levels eight to ten times higher than previous norms

Rugged edge computing brand – Cincoze will showcase its latest embedded computing solutions at COMPUTEX Taipei 2026, from June 2–5 (Hall 2, Booth Q0401a). Cincoze will display its full range of edge computing solutions around the theme of "Smarter, Faster, More Reliable - Powered by Edge AI" encompassing the full spectrum of edge application environments in four dedicated zones, including DIN-Rail computers, industrial panel PCs and monitors, rugged embedded computers, and GPU embedded computers

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

LITEON Technology is actively capitalizing on the AI boom by restructuring its data center infrastructure around megawatt-scale power, rack and liquid cooling. The company has developed high-density 800 VDC power architectures and advanced cooling systems to support massive, next-generation AI accelerators.At COMPUTEX 2026, LITEON hosted the "AI Summit Panel" on the opening day, themed "Powering the AI-driven Future: Scaling AI Across Architecture, Systems, and Infrastructure." Moderated by Colley Hwang, Chairman of DIGITIMES, the Panel brought together industry leaders from NVIDIA, Infineon and GIGABYTE to examine how AI is reshaping the technology landscape. The discussion highlighted how rapid AI adoption is driving structural changes brought across the ecosystem, particularly in data center infrastructure and power demand. As AI scales, power availability and efficiency are becoming central considerations, with AI factories emerging as a defining paradigm in the next phase of industry development.Hwang opened by noting that AI has become a key driver of global productivity growth and is expected to generate trillions of dollars in economic value. As a result, infrastructure and deployment models are being fundamentally reshaped, with data centers rapidly evolving into AI factories. In this transition, the availability and reliability of energy have emerged as critical enablers of large-scale deployment, elevating power and cooling from supporting functions to core elements of system architecture.More than just chips, AI revolution requires huge energyNVIDIA Senior Director, HPC and AI Hyperscale infrastructure Solutions, Dion Harris spoke first. He referenced NVIDIA CEO Jensen Huang's speech in the NVIDIA GTC Taipei held in the previous day, addressing the "five-layer cake" analogy to illustrate AI from being just a software tool into a vast, vertically integrated industrial system. At the very bottom of the cake is "energy". Before the AI can showcase real-time intelligence, the systems fundamentally rely on efficient and stable power supply."Building AI factories goes beyond compute-you have to power them, cool them, and run them reliably to truly monetize AI," said Dion Harris at NVIDIA. "Infrastructure and energy play a critical role in determining token cost and performance per watt. As Jensen Huang's‘five-layer cake’ illustrates, without strong foundational layers, higher-level innovation cannot scale. This is why ecosystem collaboration is essential."Harris further mentioned NVIDIA DSX platform as a blueprint for AI factory development, defining how next-generation infrastructure is designed, built and operated. Under this framework, AI factories are evolving to support rapidly growing token demand driven by today's AI applications. He emphasized that achieving optimal token cost and performance per watt ultimately relies on strong ecosystem collaboration, noting that partners like LITEON play a critical role in delivering the power, cooling, and operational capabilities required to support frontier and open-source AI workloads at scale.Dr. Sergio Rossi, Vice President of Application Marketing at AI and Power division of Infineon Technologies, noted that AI adoption accelerates, the key competitive bottleneck is shifting from compute to energy, especially in regions such as Europe where electricity availability has become increasingly constrained. That's the reasons why LITEON, NVIDIA, GIGABYTE and Infineon engage in collaboration to have several steps forward to make sure the design is using the right technology, architecture and solutions for securing AI development to use energy in the most efficient manner."Just improving energy efficiency by a few percentage points can translate into saving power at the scale of an entire city, highlighting how critical efficiency has become in AI data center development," said Dr. Serio Rossi.Rossi further highlighted that the AI ecosystem is facing three key complexities, including acceleration, with development cycles shortening from 30 months to 6 months; increasing architectural complexity driven by the adoption of 800 VDC in next-generation data centers; and rapid innovation in power technologies such as SiCs and GaNs to enhance energy efficiency. To address these challenges, he emphasized the importance of close ecosystem collaboration, where infrastructure stakeholders work together to anticipate future demand and align on technology roadmaps with partners such as Infineon at an early stage. This enables faster development cycles and accelerates innovation in power and infrastructure solutions for evolving AI requirements.Leo Wang, EMEA regional Product & Marketing Lead at Giga Computing, talked about how the company collaborates with industry leaders to advance AI performance through hardware innovation and liquid-cooled server solutions optimized for AI workloads. He noted that as AI infrastructure evolves, the focus is extending beyond server performance to broader data center challenges, particularly in power and thermal management.Wang added that maximizing the value generated from available energy is becoming a key industry priority, making close ecosystem collaboration essential. Leveraging Taiwan's strong supply chain and close engagement with global partners, this collaboration is helping to establish scalable deployment models and best practices for global AI adoption."We are now dealing with increasingly heterogeneous machines, from training systems to different AI applications, so power and space both need to be carefully managed, as all of these resources are limited," said Leo Wang at Giga Computing, "Everything comes down to how we build a proper data center and a proper environment to serve the server in a consistent way. It is no longer just about building servers, but about optimizing at the data center level to ensure power is allocated and utilized in an effective and efficient way."From Power to Infrastructure: Enabling the Next Phase of AI ScalingIn response to the energy and infrastructure challenges highlighted in the panel, LITEON showcased its integrated capabilities across power, mechanical, and thermal systems to support next-generation AI infrastructure at COMPUTEX 2026. LITEON debuts 800 VDC liquid-cooled power rack, alongside a comprehensive portfolio of solutions, including the 110kW power shelf for NVIDIA Vera Rubin NVL72 platforms and the 280kW in-rack CDU. Together, these offerings address the growing demand for high-density and energy-efficient AI infrastructure, demonstrating LITEON's ability to integrate power delivery, thermal management, and system design to support scalable AI deployment, and reinforcing its role as a key enabler in the evolution toward megawatt-scale AI data centers.

Clientron, a premier global provider of smart endpoint solutions, today announced a strategic partnership with Parallels, a global leader in cross-platform and virtualization solutions. Through this collaboration, Clientron will bring Parallels Workspace solutions including Parallels RAS (Remote Application Server), Parallels Browser Isolation and Parallels DaaS to organizations across Southeast Asia, offering a simple, flexible, and secure alternative for businesses looking to modernize digital workspaces and reduce IT cost and complexity.In today's hybrid work era, IT teams across Southeast Asia are increasingly burdened by "Legacy VDI Platforms" and are increasingly looking for ways to simplify digital workspace management, reduce operational overhead, and improve cost efficiency. Parallels Workspace solutions address these challenges with streamlined deployment, flexible infrastructure support, and cost-effective application and desktop delivery across hybrid and multi-cloud environments."Businesses want to stop using old and costly systems," said Vivienne Weng, Vice President at Clientron. "Parallels is a great way to reduce the work for IT teams. With Clientron's high-performance hardware, we help IT managers in Asia move away from expensive setups to a smarter and easier way to manage their workspaces.""Many organizations across Southeast Asia are currently seeking solutions to modernize their digital workspace strategies," said Asif Khan, Country Sales Manager at Parallels. "As a strong mid-market enabler, Parallels helps organizations simplify application and desktop delivery with secure, flexible solutions designed for hybrid and multi-cloud environments - backed by competitive and cost-effective pricing. Together with Clientron, we're expanding access to these modern workspace solutions across the region."Key Advantages of Clientron x Parallels:1. Cost-Effective Seamless Access: Smoothly run critical apps on Mac, Windows, or Linux platforms while cutting Total Cost of Ownership (TCO); 2. Deployment Without Complexity: Parallels Workspace Solutions can be deployed in hours with minimal specialized training; 3. Ultimate IT Flexibility: Support workloads across hybrid, multi-cloud, and on-premises environments, protecting enterprises from vendor lock-in; 4. Stronger Security: Modern encryption and login technology to keep your data safe with high-class protection while staying fast and smooth; and 5. Localized Southeast Asia Support: Dedicated focus on key Southeast Asian markets including Malaysia, Thailand, the Philippines, Taiwan, Vietnam, and Indonesia, helping customers and partners access localized expertise, deployment support, and faster regional engagement.Moving forward, Clientron will continue to expand its footprint in Asia, working closely with channel partners to promote Parallels solutions and help enterprises build 'Smart Secure Workspaces' for the future.Deliver secure apps and desktops via Parallels RAS with simple VDI and seamless remote access.Credit: Clientron

Nuvoton Technology Corporation announced that it has agreed to collaborate with Qualcomm Technologies, Inc. on system-on-chip (SoC) products primarily targeting tethered XR Glass applications. Through this collaboration, Nuvoton will combine its tethered XR Glass–optimized SoCs with Snapdragon XR platforms, and its software ecosystem to accelerate the development and deployment of tethered XR Glass applications and to support industry expansion.XR glasses are increasingly being adopted, particularly in industrial and enterprise fields, for use cases such as operational support, remote assistance, and information visualization. At the same time, achieving compact and lightweight designs, long battery life, and comfortable user experience remains a key challenge for broader market adoption.Nuvoton has been providing SoCs that balance the processing performance and low power consumption required for tethered XR Glass applications. Through this collaboration with Qualcomm Technologies, Nuvoton aims to create an environment that enables more device manufacturers and developers to more easily enter the tethered XR Glass industry.Qualcomm Technologies'newest XR platform, Snapdragon Reality Elite, combined with Nuvoton's SoC, enables a practical and scalable tethered optical see-through (OST) architecture that balances performance, power efficiency, and system flexibility. This configuration allows computing intensive XR workloads to remain on the tethered device while delivering high quality, low latency display and sensor data to lightweight glasses. Together, Snapdragon Reality Elite and Nuvoton’s SoC form a strong foundation for OEMs to accelerate time-to-market for tethered OST designs while maintaining a clear path for future system evolution.Key Collaboration AreasEvaluation of optimized tethered XR Glass configurations by combining Nuvoton's SoCs with Qualcomm Technologies' XR platforms and related technologies.Nuvoton positions its SoC as a key enabler of AI-driven tethered XR platforms. The SoC provides a scalable architecture that decouples application processors from display and sensor subsystems, including cameras and microphones.By abstracting complex interfaces, it helps device manufacturers accelerate time-to-market, reuse designs across product generations, and optimize system performance and power efficiency, particularly for smart glasses.In addition to tethered XR Glass applications, the SoC supports emerging use cases such as agentic AI experiences by simplifying system integration and enabling flexible system architectures. Within the XR ecosystem, Nuvoton works with Qualcomm Technologies, OEMs, and partners at a platform level, supporting the evolution of XR as a next-generation AI computing platform.Value Proposition and BenefitsThrough this collaboration, the adoption of Nuvoton's XR Glass SoCs is expected to deliver the following benefits:1.A comfortable user experience enabled by high-performance, low-power designs optimized for tethered XR Glass use cases. 2.Superior connectivity and access to a rich software ecosystem through compatibility with Qualcomm Technologies platforms. 3.Reduced development effort and shortened time-to-market. 4.Support for a wide range of applications, from industrial to enterprise use cases."This collaboration with Qualcomm Technologies represents an important step in expanding the applicability of our SoC solutions for tethered XR Glass and emerging AI-driven XR platforms." said Ken Su, Vice President of Cloud Security Business Group at Nuvoton Technology Corporation."By working together within the ecosystem, we aim to support our customers in bringing innovative smart glasses and next-generation devices to market more efficiently.""By working with Nuvoton to pair Snapdragon XR platforms with their optimized SoC, we aim to support lightweight optical see-through designs that balance performance, power efficiency and system flexibility. This collaboration builds toward the next phase of the XR ecosystem." Sahil Bansal, Senior Director, Product Management at Qualcomm Technologies remarked.For more information.