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As enterprise artificial intelligence moves into real-world deployment, the benchmark for evaluating AI has shifted from simply "whether it can answer questions" to the commercial-critical stage of "whether it can complete tasks stably and securely." To help global enterprises overcome the data security and computing governance challenges of AI deployment, Leadtek, a global AI solutions provider, is showcasing its "On-Premises AI Development and Operations Management Solution" built around its AI Development Management System (AIDMS) as the software core and powered by NVIDIA accelerated computing, at Automation Taipei 2026 (Booth N428) under the theme "AI Agents on the Automation Floor." The company is also collaborating with Global Instrument Technology and UNARIQ to present AI agent applications and physical AI virtual-to-physical integration results, demonstrating the complete technical architecture enterprises need to move AI from development and validation into full-scale operation.
This exhibition centers on real-world applications of AI agents, focusing on the most critical operational challenges in AI adoption, including data security, model management, computing resource allocation, cross-system integration, and future scalability.
In the interactive exhibit area, visitors need only issue instructions in natural language, and an AI agent built on Leadtek's on-premises environment will parse the task, retrieve internal data, and plan execution steps, then drive a six-axis robot across systems to complete the specified task. This demonstration shows how an AI agent, upon receiving text commands, can quickly automate processes and improve task execution efficiency according to the instructions.
AIDMS acts as the management brain behind the application, helping organizations build a manageable, scalable on-premises AI operations architecture. Enterprises can flexibly switch between LLMs based on task complexity and allocate compute resources by workload, enabling more reliable day-to-day AI services.
As AI agents are introduced into enterprise workflows, AIDMS can connect application systems across different departments through open APIs, enabling AI agents to operate within corporate governance frameworks. As the number of users, models, or AI service demands grows, AIDMS also supports managing multiple GPU nodes from a single control node, reducing the hardware and labor costs associated with redundant builds, idle environments, and distributed operations that typically accompany scaling, thereby improving cost efficiency.
For physical AI, one of the most closely watched trends in smart manufacturing, another exhibit area focuses on a low-risk "simulate first, deploy later" development strategy. NVIDIA Omniverse libraries help developers to build physical AI simulation applications and agentic workflows. With these libraries, developers can build physically accurate digital twins to generate training data and test and validate physical AI systems in simulation, then deploy to physical robots via a Sim-to-Real workflow after validation, reducing the risk of collisions, downtime, and repeated physical tuning. By building these digital twins on OpenUSD, teams can also take advantage of collaborative workflows, significantly cutting development cycles and costs.
For diverse deployment environments, Leadtek offers NVIDIA RTX PRO Blackwell Workstation Edition and Server Edition GPUs, NVIDIA-Certified Systems, and the NVIDIA IGX Thor industrial-grade edge AI platform. From initial planning, system deployment, and technical support to talent development through NVIDIA Deep Learning Institute (DLI) certification courses, Leadtek continues to help enterprises shorten the time it takes for AI to move from proof of concept to daily operations, driving upgrades in smart manufacturing and automation applications.
Visit Leadtek at Booth N428 during Automation Taipei 2026, from August 19 to 22, to exchange insights with Leadtek on the practical implementation paths of on-premises AI agents and physical AI on the automation floor.
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