From Defect Detection to Enterprise-Level AI: Spingence Teams Up with NVIDIA and ASUS to Create a Textbook Case for AI Implement


Artificial Intelligence From Defect Detection to Enterprise-Level AI: Spingence Teams Up with NVIDIA and ASUS to Create a Textbook Case for AI Implement Print Page Caption: Spingence Technology CEO Ching-Wei Chen (Source: TechNews) Demand on manufacturing sites for quality management, automation and intelligent tools has become increasingly urgent. Spingence Technology focuses on AI solutions for precision manufacturing, staying ahead of the curve by truly bringing AI onto the production line. From defect detection and digital twins to enterprise-level on-premises AI deployment, Spingence’s role is not only that of a technology provider, but also that of a partner accompanying Taiwan’s manufacturing industry in its upgrade journey. This has also enabled it to build deep collaborations with major players such as NVIDIA®, ASUS, and Cooler Master, driving larger-scale AI factory deployments. Spingence has engaged in factory-automation integration services since its founding in 2015. In 2016, it began applying AI on production lines and invested in AI defect detection. It later launched AINavi, all-in-one AI defect-inspection software designed specifically for manufacturing. Based on diverse customer needs, it also developed Edgestar, an on-premises deployment solution that combines high-performance GPU hardware with an AI management platform. CEO Ching-Wei Chen stated that in 2018, Spingence was invited to participate in the first NVIDIA Inception program, where it won first place in the automation-related category. The company then formed a deep cooperative relationship with NVIDIA. He pointed out that Spingence entered the AI defect-detection business at the best possible time for technology application and has received many customer orders. The team has also maintained continuous communication with NVIDIA around customer needs—from discussing new technologies to assisting with technical validation—closely examining the business value that can be created on the customer side. As the frequency of collaboration and interaction has increased, the relationship between Spingence and NVIDIA has grown closer. Spingence, ASUS and Cooler Master Launch an AI Factory Project Through NVIDIA’s partnership ecosystem, Spingence joined forces with ASUS in 2025 to serve Cooler Master, a global leader in thermal solutions, launching an AI Factory project together. Spingence leverages NVIDIA AI technologies to implement solutions in multiple areas, including quality inspection, digital simulation, and enterprise-level intelligent agent systems, while ASUS provides products and related technical support. First, Spingence introduced the NVIDIA Metropolis platform into Cooler Master’s production lines, integrating NVIDIA TAO and its AutoML automated-modeling capabilities to quickly build and optimize high-precision AI defect-inspection models. Through NVIDIA Dynamo-Triton, these models can be deployed to the production line, achieving real-time inspection of more than 20,000 to 40,000 products per month, covering high-value product series such as NVIDIA GB200, NVIDIA GB300, and NVIDIA Hopper. This move has greatly improved accuracy and consistency at the final inspection stage, providing solid quality assurance for Cooler Master’s high-end thermal products. At the same time, Spingence launched a Digital Twin modeling project, using the NVIDIA Omniverse software suite to construct highly realistic equipment models, which help simulate Cooler Master’s workstation layout and production processes. By adopting a “real-to-simulation” approach, it reduces risks during actual deployment and lays the data and scenario foundation for subsequent introduction of agentic AI. For this project, Spingence selected the ASUS ESC8000A-E13P server, which supports eight NVIDIA RTX PRO 6000 Blackwell-series graphics cards. It is designed for general-purpose computing and graphics, and it is fully compatible with the NVIDIA MGX architecture. Through NVIDIA OVE and NIM services, it can quickly build dedicated instances, facilitate simulation and training, enable real-time collaboration, and expand infrastructure — bringing generative AI to more application scenarios. In addition, the NVIDIA DGX™ B200 is equipped with eight NVIDIA Blackwell GPUs interconnected via fifth-generation NVIDIA NVLink™. By leveraging the NVIDIA Blackwell architecture, it can handle various workloads including large language models, recommendation systems, and chatbots, making it very suitable for enterprises seeking to accelerate AI transformation. Together, these combined NVIDIA solutions are used to build the Enterprise AI solution for Cooler Master and, with the help of the NVIDIA Omniverse suite, assist in simulations for factory construction in the United States and Vietnam, improving planning accuracy. Caption: ASUS ESC8000A-E13P GPU Server Looking ahead, Spingence expects that Cooler Master will continue to expand its computing-power needs and will work with ASUS to build additional computing-resource infrastructures. Spingence also hopes to use models to extend its services to more enterprise customers that are planning to build factories in the United States, providing comprehensive assistance from simulation and AI applications to compute-infrastructure deployment. Chen points out that in Spingence’s recent large-scale AI infrastructure projects, ASUS has demonstrated maturity in the enterprise-level market through strong product capabilities and highly-efficient delivery. From server equipment and data center room construction to network and power integration, ASUS has provided comprehensive solutions, allowing Spingence to focus on design and optimization of AI platforms and models. Through this collaboration, Spingence has obtained high performance and stability in its projects, and it has deepened its own methodologies for large-scale AI system integration. Caption: CEO Ching-Wei Chen explains that when enterprises roll out AI, their needs are not only about the equipment itself but also about having a complete solution. (Source: TechNews) Spingence Promotes AINavi and Edgestar Solutions to Serve Customers In Spingence’s early days of investing in AI implementation services, its core was “Landing as a Service”: how personnel should learn AI, and how AI SOPs should be established. And when problems arise, whether retraining is needed or other approaches should be taken. Chen described this as a process of exploration together with customers. At that time, Spingence already believed it should provide customers with a set of platforms and tools that could continuously incorporate new functions and that customers could operate on their own, which led to the launch of the AI defect-inspection platform AINavi. Caption: NVIDIA DGX™ B200 is an integrated artificial intelligence platform Source: 從瑕疵檢測到企業級 AI：偲倢科技聯手華碩採用 NVIDIA 解決方案打造台灣 AI 落地教科書 \| TechNews 科技新報

Artificial Intelligence

From Defect Detection to Enterprise-Level AI: Spingence Teams Up with NVIDIA and ASUS to Create a Textbook Case for AI Implement

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Caption: Spingence Technology CEO Ching-Wei Chen (Source: TechNews)

Demand on manufacturing sites for quality management, automation and intelligent tools has become increasingly urgent. Spingence Technology focuses on AI solutions for precision manufacturing, staying ahead of the curve by truly bringing AI onto the production line. From defect detection and digital twins to enterprise-level on-premises AI deployment, Spingence’s role is not only that of a technology provider, but also that of a partner accompanying Taiwan’s manufacturing industry in its upgrade journey. This has also enabled it to build deep collaborations with major players such as NVIDIA®, ASUS, and Cooler Master, driving larger-scale AI factory deployments.

Spingence has engaged in factory-automation integration services since its founding in 2015. In 2016, it began applying AI on production lines and invested in AI defect detection. It later launched AINavi, all-in-one AI defect-inspection software designed specifically for manufacturing. Based on diverse customer needs, it also developed Edgestar, an on-premises deployment solution that combines high-performance GPU hardware with an AI management platform.

CEO Ching-Wei Chen stated that in 2018, Spingence was invited to participate in the first NVIDIA Inception program, where it won first place in the automation-related category. The company then formed a deep cooperative relationship with NVIDIA.

He pointed out that Spingence entered the AI defect-detection business at the best possible time for technology application and has received many customer orders. The team has also maintained continuous communication with NVIDIA around customer needs—from discussing new technologies to assisting with technical validation—closely examining the business value that can be created on the customer side. As the frequency of collaboration and interaction has increased, the relationship between Spingence and NVIDIA has grown closer.

Spingence, ASUS and Cooler Master Launch an AI Factory Project

Through NVIDIA’s partnership ecosystem, Spingence joined forces with ASUS in 2025 to serve Cooler Master, a global leader in thermal solutions, launching an AI Factory project together. Spingence leverages NVIDIA AI technologies to implement solutions in multiple areas, including quality inspection, digital simulation, and enterprise-level intelligent agent systems, while ASUS provides products and related technical support.

First, Spingence introduced the NVIDIA Metropolis platform into Cooler Master’s production lines, integrating NVIDIA TAO and its AutoML automated-modeling capabilities to quickly build and optimize high-precision AI defect-inspection models. Through NVIDIA Dynamo-Triton, these models can be deployed to the production line, achieving real-time inspection of more than 20,000 to 40,000 products per month, covering high-value product series such as NVIDIA GB200, NVIDIA GB300, and NVIDIA Hopper. This move has greatly improved accuracy and consistency at the final inspection stage, providing solid quality assurance for Cooler Master’s high-end thermal products.

At the same time, Spingence launched a Digital Twin modeling project, using the NVIDIA Omniverse software suite to construct highly realistic equipment models, which help simulate Cooler Master’s workstation layout and production processes. By adopting a “real-to-simulation” approach, it reduces risks during actual deployment and lays the data and scenario foundation for subsequent introduction of agentic AI.

For this project, Spingence selected the ASUS ESC8000A-E13P server, which supports eight NVIDIA RTX PRO 6000 Blackwell-series graphics cards. It is designed for general-purpose computing and graphics, and it is fully compatible with the NVIDIA MGX architecture. Through NVIDIA OVE and NIM services, it can quickly build dedicated instances, facilitate simulation and training, enable real-time collaboration, and expand infrastructure — bringing generative AI to more application scenarios. In addition, the NVIDIA DGX™ B200 is equipped with eight NVIDIA Blackwell GPUs interconnected via fifth-generation NVIDIA NVLink™. By leveraging the NVIDIA Blackwell architecture, it can handle various workloads including large language models, recommendation systems, and chatbots, making it very suitable for enterprises seeking to accelerate AI transformation.

Together, these combined NVIDIA solutions are used to build the Enterprise AI solution for Cooler Master and, with the help of the NVIDIA Omniverse suite, assist in simulations for factory construction in the United States and Vietnam, improving planning accuracy.

Caption: ASUS ESC8000A-E13P GPU Server

Looking ahead, Spingence expects that Cooler Master will continue to expand its computing-power needs and will work with ASUS to build additional computing-resource infrastructures. Spingence also hopes to use models to extend its services to more enterprise customers that are planning to build factories in the United States, providing comprehensive assistance from simulation and AI applications to compute-infrastructure deployment.

Chen points out that in Spingence’s recent large-scale AI infrastructure projects, ASUS has demonstrated maturity in the enterprise-level market through strong product capabilities and highly-efficient delivery. From server equipment and data center room construction to network and power integration, ASUS has provided comprehensive solutions, allowing Spingence to focus on design and optimization of AI platforms and models.

Through this collaboration, Spingence has obtained high performance and stability in its projects, and it has deepened its own methodologies for large-scale AI system integration.

Caption: CEO Ching-Wei Chen explains that when enterprises roll out AI, their needs are not only about the equipment itself but also about having a complete solution. (Source: TechNews)

Spingence Promotes AINavi and Edgestar Solutions to Serve Customers

In Spingence’s early days of investing in AI implementation services, its core was “Landing as a Service”: how personnel should learn AI, and how AI SOPs should be established. And when problems arise, whether retraining is needed or other approaches should be taken. Chen described this as a process of exploration together with customers. At that time, Spingence already believed it should provide customers with a set of platforms and tools that could continuously incorporate new functions and that customers could operate on their own, which led to the launch of the AI defect-inspection platform AINavi.

Caption: NVIDIA DGX™ B200 is an integrated artificial intelligence platform

Source: 從瑕疵檢測到企業級 AI：偲倢科技聯手華碩採用 NVIDIA 解決方案打造台灣 AI 落地教科書 | TechNews 科技新報