Leading server chassis manufacturer Chenbro makes a formidable appearance at COMPUTEX 2026 (June 2 to June 5). This year, Chenbro's exhibition flow is strategically designed around three core pillars: Business Development (AI Zone), Product R&D (R&D Zone), and Professional Manufacturing (Manufacturing Zone).The showcase fully highlights Chenbro's comprehensive end-to-end advantages, spanning from precise front-end business alignment and collaborative component design to high-value-added back-end manufacturing services. Furthermore, to address the massive demand fueled by the explosive growth of AI servers, Chenbro is unveiling its newly integrated "Rack Level Solution" for the very first time. Through live physical demonstrations on-site, Chenbro powerfully declares its determination and fruitful milestone achievements as it comprehensively advances into the mechanical components market

PEGATRON Corporation ("PEGATRON") returns to COMPUTEX 2026 in Taipei for the second consecutive year. As a Tech Maker, the company integrates R&D, design, and manufacturing to help customers turn emerging technologies into production-ready products

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

Elitegroup Computer Systems (ECS), a leading global provider of motherboards, mini PCs, and computing solutions, will participate in COMPUTEX 2026 from June 2 to 5, 2026, at Taipei Nangang Exhibition Center, Hall 1, Booth J1317a. Under the theme Power AI Computing, ECS will present its latest motherboards and LIVA Mini PCs, highlighting how compact and scalable PC platforms can support AI Agent workloads, Edge AI processing, smart healthcare applications, and embedded deployments.ECS will demonstrate how LIVA Mini PCs can be flexibly deployed in edge computing environments to support AI-assisted information retrieval, private knowledge base applications, healthcare data monitoring, and embedded commercial deployments. Through these demonstrations, ECS will highlight the role of LIVA Mini PCs in data processing, application execution, real-time monitoring, and vertical use cases. ECS will also showcase motherboard platforms with high-performance expansion capabilities, providing customers with a broader choice of computing foundations for AI and edge applications.Showcasing AI Agent Applications in PC EnvironmentsECS will showcase OpenClaw AI Agent applications running on an AMD desktop PC at its booth, demonstrating how AI Agent capabilities can be applied in PC-based environments. The demonstration will cover common scenarios such as system status queries, information search, and content summarization, showing how AI Agents can help users streamline daily operations and improve information processing efficiency. Through this demonstration, ECS will further present the flexibility and practical value of integrating AI Agent applications into commercial PC environments.LIVA Z11 PLUS. Credit: ECSLIVA One H810. Credit: ECSExtending Edge AI into Healthcare and Private Knowledge ApplicationsECS will showcase the LIVA Z11 PLUS mini PC in two Edge AI and data-driven scenarios: healthcare monitoring and private knowledge base applications. In the healthcare demonstration, the Z11 PLUS will support hemodialysis simulation and FHIR BOX applications, showing how a compact mini PC can serve as an edge computing node for medical data collection, real-time monitoring, and data format conversion.The knowledge base scenario will run a local database with a natural language interface, enabling users to query product and business information more intuitively. This highlights the role of mini PCs in enterprise information access, private data environments, and on-site applications where sensitive information needs to be managed locally. Powered by Intel Core Ultra processors, the LIVA Z11 PLUS provides high-speed storage, dual networking, and USB4 connectivity to support data-intensive Edge AI applications.LIVA Z15 PLUS. Credit: ECSExpanding the LIVA Lineup from AI-ready Performance to Embedded FlexibilityBeyond AI application demonstrations, ECS will present its full LIVA Mini PC lineup and next-generation platforms for commercial, edge, and embedded deployments. The new LIVA Z15 PLUS, built on the Intel Wildcat Lake platform with integrated NPU-based AI acceleration, will be a key highlight of ECS’s LIVA showcase, addressing high-performance commercial use, AI-assisted workloads, and edge computing applications.ECS will also feature the LIVA One H810, extending the LIVA One series' upgradeable socket-type design with the Intel Core Ultra LGA1851 platform. For low-power and embedded applications, the LIVA Z4F offers fanless reliability, while the LIVA Q4 combines an ultra-compact form factor with 45W USB Type-C power input for mobile, space-constrained, and flexible installation environments.

SK hynix Inc. (or "the company", www.skhynix.com) announced today the launch of the iHBM solution that embeds integrated cooling elements(ICEs) within the high-bandwidth memory(HBM) package for next-generation HBM products.Heat management has become a critical challenge as HBM technology advances with higher stacking and faster speeds to cater to the surging demand for AI data processing.The efficient management of power density in the Die-to-Die Physical Layer (D2D PHY) - the interface connecting HBM and GPU - has emerged as a key factor defining the competitiveness of next-generation HBM.With the iHBM solution, the company has taken a structural approach to addressing the heat management issue. Existing HBM products rely on an indirect cooling method that draws heat away through the core die. In contrast, the iHBM solution places ICEs directly in the D2D PHY area where heat concentration is the highest, creating an additional 'heat dissipation path'. This latest heat management solution helps reduce thermal resistance by 30% and enables chips to operate stably even in high-temperature and high-pressure conditions.The company's mass-production capabilities also serves as a key advantage. SK hynix's Wafer Level Packaging(WLP) process, based on its market-proven Mass Reflow Molded Underfill(MR-MUF) technology, enables stable high-volume production of iHBM-equipped chips. Furthermore, the solution offers high design compatibility with existing System-in-Package(SiP) architectures, allowing customers to adopt the new thermal technology with minimal design adjustments.Through the iHBM solution, slated for deployment in next-generation HBM products, including HBM5, SK hynix aims to increase the stability and operational efficiency of HPCs, AI data centers by meeting heat management standards required in high-density and high-bandwidth environments."iHBM is an optimal solution for thermal management, combining our memory design capabilities with advanced packaging technology," said Kangwook Lee, Senior Vice President and Head of PKG Development at SK hynix, adding "The company will cement its AI memory leadership by taking preemptive steps to offer values needed in the AI environment for its customers."

Global Unichip Corp. (GUC), the Advanced ASIC Leader, will showcase Jotunn8, a next-generation data center AI inference processor developed by VSORA, at the TSMC Europe Technology Symposium.This exhibition highlights the successful collaboration between GUC and VSORA, combining advanced AI architecture with leading-edge ASIC implementation and packaging technologies to deliver a high-performance, scalable inference solution for data center workloads.Enabling advanced AI inference through close collaborationJotunn8 is VSORA's flagship AI inference processor, purpose-built for inference workloads. It delivers ultra-low latency and very high throughput by addressing the memory wall bottleneck, enabling cost-efficient deployment of large-scale AI models.GUC provided comprehensive turnkey ASIC services for Jotunn8, managing the full implementation from netlist to manufacturing. The project demonstrates GUC's expertise in complex system integration, including: Advanced chiplet architecture design and integration, High-bandwidth memory integration with HBM3E PHY and controller, 2.5D die-to-die connectivity using GUC's 17.2 Gbps GLink-2.5D interconnect, Advanced packaging implementation leveraging TSMC CoWoS-S technology (3x reticle size), Implementation on TSMC's 5nm process node,Full-system co- optimization of signal, power, and thermal integrity (SI/PI/TI), Power and IR optimization to enhance overall system efficiency.This collaboration underscores GUC's capability to deliver complex AI and HPC ASICs with optimized performance, power, and scalability.Leveraging a strong ecosystem with TSMCJotunn8 also reflects the strength of GUC's long-standing collaboration with TSMC. As a key partner in TSMC Open Innovation Platform (OIP) ecosystem, GUC enables customers to efficiently adopt advanced process nodes and packaging technologies, bridging innovative architectures with leading-edge manufacturing.By leveraging TSMC's advanced CoWoS packaging and 5nm process technologies,GUC ensures high-quality silicon execution and a reliable path to production for demanding AI applications."We are proud to showcase Jotunn8 at the TSMC Europe Technology Symposium. This achievement highlights our strong collaboration with VSORA and demonstrates GUC's ability to bring complex AI processors to silicon using advanced process and packaging technologies," — said Patrick Wang, Senior Vice President and Chief Revenue Officer at GUC."Jotunn8 is designed to unlock a new level of efficiency and scalability for AI inference. Our collaboration with GUC has been key in successfully translating this architecture into a highperformance silicon solution,"— said Khaled Maalej CEO of VSORA.Driving next-generation data center AIThrough this collaboration, GUC and VSORA address the growing demand for high-performance,energy-efficient AI inference in hyperscale data centers. Jotunn8 enables new levels of throughput and latency optimization, supporting large-scale AI deployment across cloud and enterprise environments.