According to the latest report by Fortune Business Insights, the global machine vision market is projected to grow from $13.61 billion in 2026 to $26.88 billion by 2034. As manufacturing rapidly adopts 3D imaging and AI-driven robotic vision, enterprises are facing increasing deployment challenges, including rising computational demands and constraints in space-limited, thermally challenging factory environments.
To address these challenges, the DFI IPC System WM130-RPS is a compact edge computing platform engineered to deliver high-performance AI computing directly to the factory floor. Featuring a space-saving wall-mount design and support for single-slot, full-height GPUs such as NVIDIA A400 and A1000, it enables powerful Edge AI performance in compact industrial deployments.
Explore the Technical Specifications:
Maximizing Spatial Efficiency for Dense Edge AI Environments
1. Limited Space? Unleashing Maximum Computing Performance at the Edge
Are you struggling to find the right hardware to deploy machine vision and Edge AI in space-constrained, harsh factory environments? The WM130-RPS is the perfect answer. Engineered with a precisely optimized chassis width, it is custom-built for environments with strict space limitations. Its ultra-compact, wall-mount design (200 x 145.8 x 210.6 mm) not only addresses your space pain points but also can be integrated a 2.5-inch SATA SSD within its slim frame. By maximizing internal space efficiency, this design allows you to seamlessly embed powerful local edge computing directly into crowded factory control cabinets—without compromising on storage capacity.
2. Unlocking Advanced Edge AI with Dedicated GPU Expansion
Hit a bottleneck with high-end video analytics or industrial rendering? The WM130-RPS is purpose-built for extreme AI acceleration. Equipped with a dedicated PCIe Gen 5 x16 slot, it not only perfectly accommodates single-slot, full-height discrete GPUs like the NVIDIA A400 and A1000, but also offers the flexibility to integrate dedicated NPU expansion cards, such as the high-efficiency Mobilint MLA100 edge AI accelerator. Paired with high-speed M.2 NVMe SSDs to ensure rapid model inference, this system empowers you to effortlessly shatter performance limits and process massive amounts of data—whether you rely on traditional GPU pathways or next-generation NPU architectures.
3. Maximizing Maintenance Efficiency with One-Side Rich I/O and Custom Flexibility
Struggling with tangled cables in tight industrial spaces, or facing high costs for on-site downtime maintenance? The WM130-RPS is custom-built for frontline operators. Its intuitive "One-Side Rich I/O" layout concentrates all essential ports—including dual 2.5GbE LAN and high-speed USB 3.2—onto a single side, making daily cabling and routine maintenance more streamlined and intuitive than ever. Furthermore, with its flexible BOM customization, the chassis features pre-cut holes to easily integrate the DFI OOB remote management module (supported via project-based customization). This allows your team to monitor and recover systems remotely without stepping foot on-site, drastically slashing maintenance costs.
4. Cross-Generation CPU Upgrades for Future AI Expansion
Worried that upgrading edge nodes to meet growing computational demands will require frequent hardware replacements? The WM130-RPS offers exceptional upgrade flexibility, allowing your equipment to grow alongside your AI needs. Supporting 12th/13th/14th Gen Intel® Core™ processors and the latest BTL-S platform, it enables CPU upgrades while retaining the existing motherboard architecture to handle diverse AI workloads. Built for harsh factories, it supports -5°C to 50°C operation and features industrial-grade shock resistance for long-term stability. With this scalable and rugged design, the WM130-RPS easily adapts to future tech advancements, delivering a highly scalable, long-term ROI.
