The semiconductor industry is currently experiencing a significant shift catalyzed by the strategic integration of artificial intelligence (AI). At SEMICON Taiwan 2025, industry stalwarts such as Microsoft, Advantech, and Nvidia shared profound insights into the sector’s rapid move towards “Lights-Out” factories. These fully automated facilities, operational round-the-clock and powered by AI, are poised to address formidable challenges while unlocking unprecedented levels of efficiency and resilience.
In recent years, the development of AI has surged exponentially, evolving from early domain-specific models to sophisticated multi-domain frameworks. Noteworthy advancements include the Retrieval-Augmented Generation (RAG) models, ensuring more accurate responses, and multimodal models seamlessly integrating text, audio, and visual inputs. A significant breakthrough has been the advent of reasoning models capable of providing profound insights across scientific, mathematical, and manufacturing domains, outperforming their predecessors in complexity and depth.
The deployment of multi-agent systems is automating entire workflows, enabling specialized AI agents to collaborate on intricate challenges within the semiconductor manufacturing realm. An exemplary instance is Toyota’s “obeya agent,” amalgamating multiple sub-agents to aid powertrain engineers in processing vast datasets. These advanced AI models, as highlighted by Saj Kumar K, Senior Director of Manufacturing (APAC) at Microsoft, are already being harnessed in manufacturing processes. The Production Copilot, functioning as a factory agent, scrutinizes data to pinpoint causes of downtime and optimize maintenance schedules. Moreover, AI is optimizing fab scheduling, Automated Material Handling Systems (AMHS), and training humanoid robots using large language models (LLMs) for complex tasks through single-shot teaching.
Advantech, cognizant of the unique challenges in semiconductor manufacturing, is leading the charge with an Edge AI strategy focused on process optimization, inspection, and fab automation. The company’s approach, underscored by high computing power, high throughput, low latency, and robust local storage for analytics, is designed to address the escalating data volumes generated during processes like wafer inspection. Advantech’s emphasis on embedding AI into its solutions, such as the SkyRack and MIC-7000/7500 industrial servers with direct-liquid cooling, ensures high-speed connectivity and precision through AI-powered vision systems. Collaborations with Nvidia for advanced computing and Intel for system integration further solidify Advantech’s ecosystem strength.
Nvidia, transitioning from a chipmaker to an infrastructure company pioneering Physical AI, is revolutionizing the industrial landscape with its cutting-edge advancements. By developing Vision-Language-Action (VLA) models, Nvidia is empowering robots to interpret high-level prompts and images, translating them into precise physical actions. Leveraging its Omniverse platform for digital twins and simulation, Nvidia is creating physically accurate virtual environments to generate synthetic data and train robots efficiently. This approach not only mitigates labor shortages but also facilitates rapid “factory cloning” to address supply chain risks. Nvidia’s integrated platform spans training systems for foundation models, Omniverse servers, and embedded platforms for industrial robot deployment.
The amalgamation of advanced AI models, strategic infrastructure, and targeted edge solutions is propelling semiconductor manufacturing towards fully automated “Lights-Out” facilities. This paradigm shift promises substantial improvements in productivity, efficiency, and resilience, reshaping the industry’s trajectory. The AI Technology Zone at SEMICON Taiwan 2025, advised by the International Trade Administration, serves as a testament to this transformation, showcasing the complete AI ecosystem from chip manufacturing and IC design to dedicated hardware.
SEMICON Taiwan 2025 Smart Manufacturing Forum. SEMI
Key Takeaways:
– The semiconductor industry is undergoing a transformative shift towards fully automated “Lights-Out” factories, powered by advanced AI models from industry leaders like Microsoft, Advantech, and Nvidia.
– AI advancements, including reasoning models and multi-agent systems, are enhancing manufacturing processes by providing deeper insights, optimizing maintenance schedules, and training robots for complex tasks.
– Advantech’s Edge AI strategy, focused on process optimization and fab automation, addresses the escalating data volumes and precision demands in semiconductor manufacturing.
– Nvidia’s Physical AI approach, leveraging VLA models and the Omniverse platform, is revolutionizing industrial automation by creating physically accurate virtual environments for training robots and mitigating supply chain risks.