Taipei, June 4, 2026 /PRNewswire/ — Cooler Master, a global leader in thermal solutions, and Spingence, Taiwan’s leading AI architecture developer, jointly announced global AI manufacturing transformation achievements at NVIDIA GTC Taipei 2026. The partners successfully deployed three NVIDIA computers for physical AI at four major production sites in Taiwan, China, Vietnam, and the United States. By deeply integrating AI visual inspection agents, thermophysical simulation, digital twins, and enterprise knowledge systems, we have established a closed-loop AI manufacturing ecosystem that links R&D, production, and simulation. This collaboration serves as a landmark example of physical AI in manufacturing, demonstrating how AI can evolve from an isolated application to a competitive advantage at the heart of cross-border collaboration.
Cooler Master CIO Jason Wu (left) and Spingence CEO Jesse Chen (right) were speakers at the 2026 NVIDIA GTC Taipei session panel titled “From Virtual to Real: The Rise of the Global AI Factory.” Photo courtesy of Spingens.
Tripartite Architecture: Solving the Challenge of Global Process Consistency
As generative and physical AI accelerates their penetration into industrial sectors, multinational companies face significant hurdles in maintaining global quality consistency and technology knowledge transfer. Jason Wu, Chief Information Officer (CIO) at Cooler Master said: “Cooler Master has accumulated deep expertise in thermal engineering and manufacturing operations for more than 30 years. Our vision is to transform this experience from personal know-how to scalable enterprise intelligence.”
Through AI agents, digital twins, and global data integration, we are building a manufacturing platform that continuously learns, evolves, and enables faster global execution. ”
To accomplish this, Spinence built an automated continuous learning feedback mechanism that leverages three computers for physical AI.
- Training computer: AI models are trained using decades of thermal engineering expertise, process knowledge, production data, and defect samples accumulated across our global operations.
- Reasoning computers: AI agents and reasoning systems are being deployed directly into manufacturing lines around the world to enable real-time visual inspection, anomaly detection, operational support, and decision support.
- Digital twin computers: Digital twins and virtual factory simulations allow you to virtually validate production line changes and factory optimization scenarios before physical implementation, creating a continuous feedback loop between simulation and real-world manufacturing. Generating synthetic data is important to speed up model training time and accuracy when actual training is limited.
Together, these three layers establish a closed-loop AI ecosystem that can continuously improve production quality, operational efficiency, and global process standardization.
Integrate software and hardware to realize the value of physical AI
Spingence is iNavi AI defect detection platform, edge star Enterprise on-premises LLM cluster management platform, and spin zone A digital twin platform that helps Cooler Master build a robust AI infrastructure. Spingence uses NVIDIA Factory Operations Blueprint (FOX) to connect, fine-tune, and operate disparate agents and applications to build a centralized factory management agent that enables faster global execution.
Based on production data from the Cooler Master factory, this transformation has had significant results.
- Automated quality control with AINavi: By implementing NVIDIA defect image generation skills, NVIDIA Cosmos, and NVIDIA TAO for synthetic data generation and model fine-tuning, we achieved a 99.6% defect detection rate, 3x increased inspection capacity, and reduced escape rates by 78%.
- 100x R&D Efficiency: NVIDIA PhysicsNeMo surrogate models increased thermal simulation validation speed by 100x, reduced sample development cycles by 60%, and unified testing standards globally.
- Digital Twin Optimized Reconfiguration with SpinZone: NVIDIA Omniverse libraries and the open robotics platform NVIDIA Isaac reduced production line reconfiguration from weeks to days, reducing trial-and-error costs by 50% and significantly reducing lost downtime.
These workloads can run on NVIDIA RTX PRO 6000 Blackwell Server Edition or NVIDIA FGX. A purpose-built industrial computing platform designed to support multi-agent systems for robotic factory operations.
From manufacturing to decision-making: building a 24/7 knowledge system
Beyond optimizing the manufacturing floor, Cooler Master is also transforming knowledge management. By integrating NVIDIA NeMo Curator, NVIDIA NeMo Guardrails, and the Edgestar platform, we reduced the time required to generate process reports from hours to minutes. This establishes a 24-hour AI decision support system that enables enterprise intelligence to respond to market changes in real time.
Chen Ching-Wei, Founder and CEO of Spingence, said, “The key to successful AI transformation is whether the technology truly fits into existing factory workflows. Our partnership with Cooler Master allows AI to grow with the enterprise, creating a feedback loop that makes AI systems smarter over time.”
Spingence and Cooler Master will continue to deepen their collaboration to extend AI applications to intelligent supply chain decision-making and dynamic resource scheduling between factories, leading the world’s manufacturing industry toward becoming an AI-native enterprise.
media contact
Veronica Wang / Spingence Brand Engagement Manager
[email protected] | 02-7723-8823 #31
Source Spingence Technology Co., Ltd.
