With the rapid development of AI and automation technologies, the demand for high-speed and large-scale data processing at the edge continues to rise. This requires not only processing massive amounts of data generated by nearby devices but also performing complex data analysis and machine learning tasks. To meet this demand, deploying AI models and algorithms on edge computing industrial PCs has become crucial. GPU industrial PCs, with their CPU and GPU collaboration capabilities, have evolved from being primarily used in data centers to being widely adopted at the edge, becoming an ideal choice for the Edge AI era due to their powerful image processing and real-time data analysis capabilities. This article will delve into the core advantages and application areas of GPU industrial PCs, and, through practical case studies, provide a more comprehensive understanding of the future role and potential of industrial GPU computers.
Advantages of GPU-based industrial PCs
In industrial applications, core industrial control computers (ICSCs) are mainly divided into CPU-based and GPU-based systems, depending on the application requirements. CPU-based ICCCs, relying on a small number of high-performance cores and multitasking capabilities, are suitable for applications with complex logic and requiring parallel processing. GPU-based ICCCs, on the other hand, are designed for high-speed computing. Through thousands of small processing cores on the GPU card, they provide powerful parallel computing capabilities, handling a large number of simple calculations, and are particularly suitable for computationally intensive tasks such as matrix operations and image processing. In machine learning model training, GPU-based ICCCs significantly reduce computation time, quickly analyze high-resolution images, and achieve real-time data processing and judgment. These characteristics make them efficient and intelligent solutions for applications such as industrial inspection, defect identification in automated production lines, and smart city security monitoring.
Core features of GPU industrial PCs
n High-performance computing power
The collaborative computing of GPU and CPU gives GPU industrial PCs high-performance computing capabilities, accelerating complex computing tasks and balancing computational efficiency and results when processing large amounts of data, thus significantly improving work efficiency. Depending on different application requirements, different types of GPU cards can be used, including SoM GPUs for embedded applications with limited space, highly flexible MXM GPUs, and PCIe GPUs that provide powerful computing capabilities.
heat dissipation technology and stability
Because the high computational demands of GPUs are accompanied by high power consumption and heat output, GPU industrial PCs are equipped with professionally designed cooling systems to ensure stability during prolonged operation. Even under high load conditions, the special cooling solution effectively reduces temperature and ensures stable equipment operation.
n High-speed transmission
To meet the demands of large-scale data transfer and exchange, GPU industrial PCs must support high-speed transmission interfaces and I/O, such as PCIe slots, as well as high-speed I/O such as LAN and USB, which can significantly improve data processing efficiency.
Cincoze's GPU product line layout
Cincoze Rugged Computing - GOLD product line targets the booming Edge AI application market, offering GPU computing solutions tailored to the complexity of application requirements, in addition to overcoming the challenges of harsh industrial environments.
n Dual-GPU full-length scalable industrial PC (GP Series)
As the flagship model of Cincoze GPU Computing – GOLD product line, the new GP-3100 series demonstrates its strength in performance, functionality, and future expandability, targeting applications with heavy computing needs such as high-end machine vision and machine learning. In terms of performance, it can be equipped with 14th generation Intel® Core processors (Raptor Lake-S Refresh), supports two 250W full-length high-end GPU cards (up to 328mm in length) and 5600MHz DDR5 ECC memory, and offers high-speed NVMe SSDs and four front-accessible 2.5" HDDs/SSDs for diverse storage options. High-speed transmission relies on native I/O (2.5 GbE LAN and USB 3.2) or I/O expansion via modules. Featuring three patented designs, the GP-3100 series comprehensively addresses common customer pain points, from heat dissipation and stability to upgrade flexibility. The patented heat dissipation design is the foundation for stable operation of the CPU and GPU at high speeds; the adjustable 3D GPU card holder ensures the GPU card remains stable and does not loosen in high-vibration environments; simply replacing the GPU card expansion enclosure allows support for more high-end GPU cards or expansion cards, making future performance upgrades more flexible. GP-3100 The series' robustness meets multiple international and industry certifications or standards (such as automotive E-mark, rail transport EN50121-3-2, and military-grade shock and vibration test MIL-STD-810H), making it the preferred choice for high-performance computing in harsh environments.
n Embedded MXM GPU industrial PC (GM Series)
Measuring only 260 x 200 x 85 mm, the GM series is designed for space-constrained mobile Edge AI applications. The new GM-1100 series features 14th generation Intel® Core™ processors (Raptor Lake-S Refresh), with options for Hybrid or P-core Monolithic architectures. It supports NVIDIA MXM Type A and Type B GPUs, delivering superior GPU performance. To overcome the high temperatures generated by simultaneous CPU and GPU operation, a special cooling design combined with an external fan ensures stable and reliable system operation. The GM-1100 series provides a complete solution for mobile application needs, offering ample M.2 expansion slots supporting 5G and Wi-Fi wireless modules, and is certified for rail transit (EN50121-3-2) and automotive applications (E-mark). The GM series' diverse industrial-grade protection capabilities, along with its compliance with the MIL-STD-810H military standard for shock and vibration resistance, are the foundation for its popularity among customers.
n Embedded SoM GPU Industrial PC (GJ Series)
The Cincoze GJ series, a new addition to the GPU Computing product line, is a compact model within the GOLD product line and is expected to officially launch in Q3 2025. Supporting NVIDIA Jetson SoC GPUs, this series combines high performance, low power consumption, and a small form factor, making it ideal for space-constrained Edge AI applications. It offers flexible deployment options and stable AI inference and data processing, meeting diverse industrial needs. Continuing Cincoze's tradition of robustness, including wide-temperature operation (-40°C to 70°C), shock and dust resistance, and long-term availability, it is an excellent choice for entry-level Edge AI applications.
Common Applications of GPUs in Industrial PCs
Full-body X-ray scanner
Full-body X-ray scanners are used in security checks to quickly scan people or objects, detecting hidden dangerous or prohibited items. Through X-ray technology, these scanners improve inspection efficiency and accuracy, ensuring security while reducing the workload of manual checks.
Case Study: An African-based systems integrator chose to use the Cincoze GM-1000 embedded GPU industrial PC in its whole-body X-ray scanner system. This scanner is widely used in locations requiring security checks, such as prisons, airports, transportation hubs, border crossings, and mines, and plays a crucial role in large-scale events.
Airport Automated Customs Clearance System
Airport automated clearance systems can fully automate passenger identity verification and clearance processes in busy terminals, significantly improving clearance speed and accuracy, while reducing airport operating costs, optimizing overall clearance efficiency, and providing passengers with a smoother clearance experience.
Case Study: A well-known European multinational company chose to use the Cincoze GM-1000 embedded industrial PC to integrate into the airport's automated customs clearance e-Gate system, which is responsible for functions such as scanning passports, controlling gates, and connecting to the database for facial recognition and comparison.
Automatic track detection
Track inspection is crucial in rail transit systems. Automated track inspection vehicles offer an effective solution, enabling real-time monitoring of track conditions such as wear, deformation, and cracks. These vehicles not only reduce inspection time but also help lower operating costs, ensuring stable track operation and safety.
Case Study: A railway systems engineering company specializing in the manufacture of track construction and maintenance inspection machines selected the Cincoze GP-3000 embedded industrial computer and applied it to an automated track inspection vehicle. This vehicle is equipped with radar sensors and cameras, responsible for capturing images of the area beneath the train and using machine vision technology to assess track safety.
Automated optical inspection
Automated optical inspection (AOI) systems utilize high-resolution cameras and image processing technology to automatically detect defects in electronic products, such as soldering defects and component misalignment. These systems improve inspection efficiency, reduce manual operation, and ensure consistent product quality.
Case Study: An automation equipment manufacturer in Southeast Asia chose to apply the Cincoze GP-3000 to its PCBA defect detection system. This system utilizes AOI technology and deep learning software to detect and mark PCBA defects, including material surface defects, soldering defects, and missing or misaligned components.
