At COMPUTEX 2025, ASUS showcased its comprehensive AI infrastructure solutions, targeting the computing needs of data centers, edge computing, and a wide range of intelligent applications. With a robust product portfolio, ASUS brings to life the NVIDIA AI Factory vision, illustrating how AI will be deeply embedded into enterprise IT infrastructure. This evolution continues to drive forward applications and services that shape the future of AI and high-performance computing

Linxens, a global leader in component-based solutions for authentication and traceability, and Dracula Technologies, a pioneer in ambient light energy harvesting, have announced a strategic collaboration to develop next-generation autonomous IoT solutions for traceability and smart labelling applications. This collaboration paves the way for smarter and more sustainable connected devices

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

As the business landscape evolves rapidly, enterprises are accelerating the integration of generative AI (GenAI) into their operations to enhance efficiency and competitiveness. However, without proper attention to cybersecurity risks, GenAI could become a new gateway for hackers. According to a Gartner report, by 2027, over 40% of AI-related data breaches will be caused by improper use of GenAI across borders.With growing awareness of AI governance, many vendors have launched AI security solutions, yet most focus only on model accuracy or hallucination detection, overlooking the cybersecurity vulnerabilities of the models themselves. Leveraging its deep expertise in AI risk research, AIFT launched Vulcan, a security platform built for GenAI. The platform provides an end-to-end solution, from assessment to protection, helping enterprises strike a balance between innovation and security.AIFT's unique AI model risk assessment technology has already completed proof-of-concept (POC) trials with more than five major financial institutions. In 2025, AIFT was publicly recognized by the Singapore government during Personal Data Protection Week for its innovative achievement in multilingual GenAI risk identification, underscoring its international credibility and technological strength.Leveraging AWS cloud technology to build a hybrid cybersecurity solutionWith extensive technical experience in cybersecurity, AIFT was among the first to identify the emerging risks associated with GenAI. In response, the company created Vulcan, an end-to-end platform that empowers enterprises to manage AI innovation and cybersecurity simultaneously.The Vulcan platform features two core modules: Vulcan Attack and Vulcan Protect. The former simulates red team attacks, enabling enterprises to identify vulnerabilities in GenAI systems from a hacker's perspective and perform risk analysis and remediation before deployment. The latter continuously monitors AI model inputs and outputs, detecting behaviors that violate internal policies or compliance requirements, thereby preventing sensitive information leakage.By integrating these two modules, enterprises can ensure both security and compliance in AI deployments. With AI scenario-based attack techniques, Vulcan Attack shortens the traditional 200-hour risk assessment process to just 3 hours, significantly boosting deployment efficiency. Vulcan Protect, meanwhile, offers high flexibility for customized testing and can be seamlessly integrated into GenAI environments and AI governance frameworks, ensuring uninterrupted operations.According to Frank Liao, Director of Partnership at AIFT, since joining the Amazon Web Services (AWS) Joint Innovation Center (JIC) in 2023, AIFT has received strong technical support from AWS experts, which has significantly optimized Vulcan’s computing performance and resource management. This year, Vulcan Attack has been officially launched on AWS Marketplace, allowing global enterprises to conduct POC validation and testing in hybrid architectures. With AWS JIC's support, AIFT has expanded its global reach and connected with a broader base of potential customers.Expanding footprint in Asia-Pacific and the Middle East with Multilingual GenAI Security Assessment CapabilitiesAs GenAI applications evolve from single-language to multilingual environments, AIFT’s cross-language risk identification capability has become a key competitive advantage in the international arena. For highly sensitive sectors such as finance and high-tech manufacturing, AIFT can tailor configurations and security rules according to each enterprise’s internal policies and compliance standards, ensuring alignment with regulatory and industry requirements.Frank emphasized that AIFT is one of the few companies capable of assessing AI models in multiple languages. Beyond English and Chinese, AIFT supports Japanese, Korean, and Thai for Asian markets, as well as Arabic and Kazakh for Middle Eastern customers. With its multilingual detection expertise, AIFT plans to deepen its presence across the Asia-Pacific region and further expand into the Middle East, leveraging its successful cases in Taiwan and AWS resources to help more clients complete complex security assessments and simulation POC projects at lower cost.

Amid the ongoing wave of digital transformation and generative AI, enterprises are facing challenges such as insufficient data processing efficiency, increasing operational costs, and increasing cybersecurity and privacy risks. How to deploy AI rapidly while balancing compliance and cost has become a key question in industrial upgrading.Renowned for its expertise in AI video analytics, AIRA empowers businesses to transform conventional surveillance systems into intelligent solutions-turning what was once a security tool into a smart engine that drives operational performance.Lowering the barrier to surveillance system upgrades by running AI on CPUWhile video surveillance systems are already ubiquitous, most still serve only for recording, lacking real-time analysis and response capabilities. For enterprises managing multiple sites, this often means high labor and maintenance costs. Moreover, slow AI adoption makes it difficult to unlock the full value of these systems.To address this, AIRA's lightweight AI algorithm can efficiently run on standard CPUs or mini computing units (NUCs), instantly upgrading existing CCTV setups into AI-powered smart systems-without the need to replace cameras. The solution fully complies with GDPR and other international standards, and features built-in, real-time privacy protection that automatically applies mosaic blurring to non-target faces. This approach enhances both monitoring efficiency and regulatory compliance, transforming security management into a value-generating tool.AIRA's solutions are now deployed across diverse fields including smart factory safety management, access control for office buildings, and shopper flow and heatmap analysis in retail environments. Looking ahead, the company plans to integrate generative AI to automatically generate actionable insights and reports from video data further strengthening decision-making and marketing effectiveness.Building a Flexible Multi-Site Management Framework with AWSTo overcome the challenges of managing operations across multiple locations, AIRA leverages Amazon Web Services (AWS) to develop a flexible, cloud-based solution. Overseas branches can run AI modules via edge computing devices, while the headquarters rapidly deploys centralized management platforms using Amazon Elastic Compute Cloud (Amazon EC2) for scalable and secure operations.In addition, Amazon DocumentDB, a fully managed document database service, supports secure and scalable data storage. According to Stephanie Chen, Business Development Manager at AIRA, this design offers high flexibility and scalability, optimizing cost structures, reducing maintenance expenses, and improving management efficiency. The centralized dashboard also enables real-time visibility into all branch operations. For startups, AWS's global cloud environment supports rapid multi-site deployment without the burden of local infrastructure setup, accelerating commercialization of AI solutions.AIRA's technologies have already been implemented across industries. A leading retail chain, for example, uses its smart surveillance system to detect in-store traffic heatmaps and recognize VIP customers upon entry - enhancing both operational efficiency and customer experience. In the international market, a Colombian healthcare group has adopted the airaFace system across hospitals, clinics, and long-term care facilities. With a unified management platform, headquarters can instantly monitor all sites, identify watchlist individuals, and respond promptly to incidents, effectively strengthening healthcare security.AIRA's retail solution helps retail chains manage multiple locations.Credit: AWS JICDeepening Kaohsiung's Industry Ecosystem with AWS JICThe success of these applications not only validates AIRA's solution reliability but also fuels its international expansion. Through collaborations with AWS and ASUS, AIRA can rapidly replicate and deploy systems across markets while reducing the manpower and cost of establishing local offices - significantly accelerating its global footprint.In Taiwan, Kaohsiung serves as a strategic hub. AIRA has launched multiple smart projects there, such as facial recognition access control and smart locker systems for shared offices of major tech firms, as well as smart fencing solutions for traditional manufacturers to improve workplace safety and reduce false alarms.AIRA is also an active participant in innovation programs. Through the AWS Joint Innovation Center (JIC) at Startup Terrace Kaohsiung, the company has received comprehensive support in business operations, technology, and marketing.On the business front, Startup Terrace provides shared office spaces and local resources to help AIRA expand its presence in Kaohsiung. From a technical standpoint, AWS cloud services accelerate AI deployment and global rollout. On the marketing side, AWS-hosted forums and workshops "targeting key decision-makers" allow AIRA to precisely reach potential clients and expand business opportunities.Through AWS JIC events, AIRA connects with corporate decision-makers to expand opportunities.Credit: AWS JICChen added that these resources have greatly accelerated AIRA's cross-industry and cross-border deployments. Building on its achievements in security management, retail operations, and industrial safety, AIRA will continue to enhance its generative AI applications, strengthen international expansion, and deepen collaborations with local partners.

The global manufacturing industry is at a critical crossroads, facing the twin challenges of digital transformation and ESG implementation. To remain competitive, companies are turning to artificial intelligence (AI) to enhance operational efficiency, reduce carbon emissions, and meet sustainability goals. Founded in 2019, Ret[AI]ling Data began as a retail technology provider and has since evolved to focus on asset management and intelligent operation solutions. By leveraging the power of Amazon Web Services (AWS), the company helps enterprises establish a seamless data flow "from on-site IoT sensors to financial decision-making" realizing both smart manufacturing and green transformation in practice.Ret[AI]ling Data delivers AI edge solutions for data collection, analysis, and generation. Credit: AWS JICAccording to Sean Chen, CEO of Ret[AI]ling Data, the company's AI Agent system supports manufacturers in knowledge management, supply chain risk prediction, and ESG performance tracking. Integrated with generative AI, the system automatically generates analytical reports and decision recommendations, helping enterprises move beyond data insights toward AI-driven decision-making while improving operational transparency and responsiveness.Traditional factories often face hurdles such as inconsistent data formats and long deployment cycles when adopting AI. Ret[AI]ling Data addresses these pain points with an agile development and modular platform approach, shortening system deployment from several months to just one to three months. This lowers the entry barrier for manufacturers to embark on digital transformation and quickly validate results. The company's flexible solutions are now being applied in precision manufacturing, semiconductor equipment, green energy, and water resource management.Driving AI for ESG with global renewable energy leadersIn 2024, Ret[AI]ling Data was selected as one of the potential suppliers in Asia-Pacific by Siemens Gamesa Renewable Energy, the world’s largest offshore wind turbine manufacturer. Chen explained that the company's generative AI-powered solution enables smart supply chain analytics and component visualization management, assisting wind energy firms in carbon reduction planning and resource optimization. This milestone highlights the growing presence of Taiwanese startups in AI for ESG and renewable energy supply chains, marking a major step forward in Ret[AI]ling Data's journey toward sustainable energy and green innovation.Chen emphasized that in addition to strong in-house R&D, AWS has played a vital role in helping the company expand into international renewable energy supply chains. All of Ret[AI]ling Data's services are built on the AWS Cloud, utilizing Amazon Simple Storage Service (Amazon S3), various database services, and AI/ML tools for model training and deployment. This ensures both security and compliance, earning strong trust from clients in the manufacturing and semiconductor industries. By leveraging AWS Marketplace and its modular cloud architecture, the company can efficiently replicate success stories in overseas markets to support global factory expansion needs.Dual-track strategy: global expansion with local rootsFor market development, Ret[AI]ling Data adopts a dual-track strategy of "global expansion and local cultivation." While collaborating with international clients to accelerate AI adoption, the company is also strengthening its local presence in Taiwan. With its new operational hub at Startup Terrace Kaohsiung, Ret[AI]ling Data focuses on serving the precision manufacturing and construction sectors. Through its "local testing, rapid deployment" model, the company enables AI solutions to be validated and scaled quickly in real-world environments - turning Kaohsiung into a living lab for smart manufacturing and a hub for replicating successful practices globally.Supported by the Startup Terrace Kaohsiung AWS Joint Innovation Center (JIC), Ret[AI]ling Data has received comprehensive assistance in technology optimization, business expansion, and brand development. The AWS expert team helped enhance the company's cloud architecture and advance its SaaS transformation, while AWS JIC connected the team with potential partners in Fukuoka and Kitakyushu, accelerating its path to international markets. Chen noted that AWS JIC's integration of technical expertise and ecosystem resources has greatly strengthened the company's global competitiveness.Advancing sustainable manufacturing through AI innovationLooking ahead, Ret[AI]ling Data will continue to center its strategy around AI and data-driven technologies, deepening their applications in manufacturing to help enterprises balance intelligence and sustainability. Generative AI will be a key focus in the next phase, not only streamlining decision-making processes but also enhancing cross-departmental collaboration efficiency. By combining AWS's global cloud resources with its growing network of international partners, Ret[AI]ling Data aims to advance its vision of "local technology, global application," continuing to shine on the world stage.