Technical support plays a critical role in helping customers resolve product issues while preserving the engineering knowledge gained along the way. At ASRock Industrial, the Technical Support Division (TSD) manages a large and growing collection of support cases, engineering reports, troubleshooting records, and product knowledge built up over years of customer interactions. This accumulated knowledge is a valuable resource for problem analysis, root cause investigation, and ongoing support. To make better use of these assets and put Enterprise AI to practical use, ASRock Industrial deployed AI BOX-A395 with AiKMSpark as an on-premises enterprise AI knowledge management platform. Built on this core solution, ASRock Industrial further developed the AI TSD Agent around the specific workflows and knowledge requirements of its Technical Support Division (TSD). The deployment demonstrates how AI BOX-A395 and AiKMSpark can serve as a foundation for tailored enterprise AI applications, turning accumulated organizational knowledge into practical AI-powered tools while keeping proprietary data entirely within the company’s infrastructure.
もっと知りたいTaipei, Taiwan (Aug 19, 2026) – ASRock Industrial today announced that its iEP-5010G-DCN edge controller has successfully achieved IEC 62443-4-2 Security Level 3 (SL3) certification, making it the world’s first SL3-certified Host Device industrial computer. As a significant milestone in ASRock Industrial’s secure-by-design strategy, the certification further strengthens the platform’s readiness for deployment in mission-critical operational technology (OT) environments, where robust cybersecurity protection is essential for defending against increasingly sophisticated cyber threats. The platform also integrates a hardware-rooted, post-quantum-ready security architecture to address evolving cybersecurity requirements and future cryptographic challenges. This achievement reinforces ASRock Industrial’s commitment to delivering trusted and cyber-resilient industrial edge computing platforms, helping enterprises strengthen security and operational resilience across critical OT environments.
もっと知りたいRunning large AI models locally no longer requires bulky workstations or constant cloud connectivity. In this webinar, discover how the AI BOX-A395 combines the AMD Ryzen™ AI Max+ 395 processor, up to 128GB unified memory, and 50 TOPS AI acceleration to deliver workstation-class AI performance in a compact form factor. Learn how its unified memory architecture, high-speed connectivity, and enterprise-ready make it an ideal platform for local AI inference, generative AI, and AI application development, while keeping sensitive data or-premises and reducing cloud infrastructure costs.
もっと知りたいTaipei, Taiwan (August 11, 2026) – ASRock Industrial today introduced AI BOX-A395 exclusively bundle with AiKMSpark enterprise AI knowledge management platform, delivering a ready-to-use Edge AI solution designed to accelerate Enterprise AI adoption through secure, on-premises AI capabilities. Powered by the AMD Ryzen™ AI Max+ 395 processor, AI BOX-A395 delivers up to 126 TOPS of AI performance by integrating CPU, GPU, and NPU into a compact AI workstation optimized for enterprise AI applications. AiKMSpark, powered by a large language model (LLM), transforms internal documents into an intelligent knowledge base, enabling employees to retrieve information, analyze data, and generate insights through natural language interaction. The integrated solution helps organizations improve operational efficiency and accelerate AI adoption while keeping enterprise knowledge securely on-premises.
もっと知りたいTaipei, Taiwan (August 6, 2026) – ASRock Industrial today announced that BestCom has been appointed the exclusive distributor of its AI BOX-A395 Edge AI computing platform for Taiwan's commercial market. The two companies held a partnership launch ceremony today, marking the official start of their strategic collaboration. By combining ASRock Industrial’s product portfolio and R&D capabilities in Edge AI computing platforms with BestCom’s established enterprise channel network and market development experience, the two companies will work together to expand the commercial AI market in Taiwan and help enterprises accelerate the adoption of on-premises AI and Edge AI solutions. As generative AI and large language model (LLM) applications continue to advance, enterprises are increasingly seeking AI computing platforms that offer high performance, security, and deployment flexibility. Designed for enterprise AI inference, local LLM deployment, and Edge AI applications, the AI BOX-A395, together with BestCom’s commercial channel network and market development capabilities, will support the adoption of next-generation AI solutions across industries in Taiwan and help drive enterprise digital transformation.
もっと知りたいTaipei, Taiwan (Aug 4, 2026) – ASRock Industrial today announced that its iEP-5010G-010 industrial IoT Controller has become the world’s first product to achieve The Open Group’s O-PAS™ Certification. This achievement represents a significant milestone in the advancement of open, interoperable, and secure process automation, demonstrating ASRock Industrial's commitment to delivering innovative edge computing platforms that support the industry's transition toward open automation architectures. By enabling standards-based integration across multi-vendor environments, the iEP-5010G-010 helps customers reduce vendor lock-in, simplify system integration, and accelerate digital transformation in industrial applications.
もっと知りたいTaipei, Taiwan (July 30, 2026) – At AI WAVE SHOW 2026, Taiwan's premier annual exhibition for AI hardware, software, and intelligent applications, ASRock Industrial joined forces with AMD and Taiwan AI Cloud to showcase an AI edge computing solution powered by the AI BOX-A395. By integrating a high-performance hardware platform, advanced AI inference technologies, and a comprehensive AI software ecosystem, the demonstration highlights the latest innovations in enterprise AI inference, AI agents, and cross-industry intelligent applications. Focused on accelerating enterprise AI adoption, the showcase features generative AI, on-premises AI inference, and a wide range of industry use cases, helping organizations deploy AI solutions while balancing computing performance, data security, and deployment flexibility to accelerate digital transformation.
もっと知りたいASRock Industrial is committed to providing secure, trustworthy edge AI computing platforms, and we work closely with global customers to help them build products and solutions to meet international cybersecurity standards and regulatory requirements.
もっと知りたいTaipei, Taiwan (July 21, 2026) – ASRock Industrial today announced a strategic collaboration with Axelera AI to deliver high-performance, power-efficient, and cost-effective AI inference solutions for edge computing. The collaboration integrates Axelera Metis® AIPU cards into ASRock Industrial’s edge AI platforms, delivering a compact, scalable AI inference solution optimized for real-world edge environments. The solution enables parallel AI processing by extending the system’s native AI computing capabilities with up to 214 TOPS of additional inference through the Metis® M.2 or PCIe AI acceleration cards. Powered by Metis® AIPU, it delivers superior performance while significantly lowering power consumption and total cost of ownership (TCO) compared with conventional GPU-based architectures. Designed for edge AI applications including LLM, machine vision inspection, robotics, smart retail and city environments, the solution enables organizations to deploy advanced AI workloads where data is generated while minimizing the system footprint, power requirements, and infrastructure costs.
もっと知りたいSelecting the right hardware for AI deployment can be challenging as AI models continue to grow in complexity. ASRock Industrial AI Pathfinder simplifies the process by intelligently matching AI workloads with optimized Edge AI platforms. Supporting over 21 AI models across LLMs, computer vision, and multimodal AI. AI Pathfinder helps users quickly identify the most suitable hardware based on model requirements, performance targets, and deployment scenarios, reducing evaluation time and accelerating the path from proof-of-concept to production.
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