Run AI Where It Matters--At the Edge

Deploy real-time inference on-site with Winmate Edge AI Panel PCs and WNAI-E800 Series GPU-ready Box PCs—built for industrial connectivity, rugged performance, and AI-driven operations.

TAIPEI, Aug. 6, 2026 /PRNewswire/ -- AI workloads no longer have to rely on the cloud alone. In industrial environments, milliseconds matter. By moving inference closer to machines, sensors, and operators, Winmate introduced Winmate Edge AI computing solutions to help reduce latency  improve uptime, and enable real-time decision-making for machine vision, automation, robotics, logistics, and smart factory operations.

As manufacturers accelerate digital transformation, edge AI is becoming essential for applications that require instant data processing, stable local operation, and reduced dependency on network connectivity. Winmate supports this shift with two proven deployment paths for industrial AI:

• Edge AI Panel PC — GP Series: AI computing and HMI visualization in one industrial front-end system.
• Edge AI Box PC — WNAI-E800 Series: centralized edge inference with GPU-ready expansion and industrial connectivity.

Edge AI Panel PC — GP Series (19"–32")

Put AI where operators and machines meet.

Winmate GP Series Edge AI Panel PCs combine large-format visualization, industrial-grade computing, and rugged design in one integrated platform. Designed for machine-side deployment, the GP Series is ideal for AI-enabled HMI dashboards, machine vision control, production monitoring, smart factory command stations, and real-time operator interaction.

Powered by Intel® 12th / 14th Gen Alder Lake S / Raptor Lake S processors, the GP Series provides scalable computing performance for demanding industrial workloads while supporting flexible deployment across factory floors, production lines, automation cells, and equipment control systems.

 GP Series Edge AI Panel PC Models

• R19IAD7T-GPM1 — 19" Edge AI Panel PC
• W22IAD7T-GPA3 — 21.5" Edge AI Panel PC
• W24IAD7T-GPA2 — 24" Edge AI Panel PC
• W27IAD7T-GPA1 — 27" Edge AI Panel PC
• W32IAD7T-GPA3 — 32" Edge AI Panel PC

GPU-Ready Options for AI Acceleration

For AI workloads that require graphics acceleration, selected GP Series models support NVIDIA GPU configuration options. GPU availability may vary by model size, thermal design, system configuration, and project requirements. Customers can work with Winmate's team to select the appropriate CPU, GPU, memory, storage, mounting, and I/O configuration based on the target workload.

Edge AI Box PC — WNAI-E800 Series

When centralized performance is required for edge inference, Winmate WNAI-E800 Series GPU-ready Box PCs deliver powerful computing in a compact industrial platform.

The WNAI-E800 Series is designed for vision servers, AI gateways, automation controllers, industrial inspection systems, robotics applications, and multi-camera edge AI deployments. With support for high-performance Intel® Core™ processors and NVIDIA GPU options, the system enables real-time inference close to the data source while reducing latency and improving operational reliability.

WNAI-E800L

AC Input GPU-Ready Edge AI Box PC

The WNAI-E800L is designed for industrial environments where AC power is available and high-performance GPU acceleration is required. It provides strong computing performance, flexible I/O, and GPU-ready expansion for demanding edge AI applications.

WNAI-E800S

DC Input GPU-Ready Edge AI Box PC

The WNAI-E800S is designed for DC-powered environments such as vehicle-based applications, field deployments, robotics, and distributed industrial sites. Its wide-range DC input makes it suitable for edge AI installations where flexible power integration is required.

Ready to Deploy Edge AI?

Winmate can help you select the right Panel PC, Box PC, GPU configuration, I/O design, and deployment architecture based on your application requirements.

Contact your Winmate sales representative for specifications, configuration options, and project support. For more information about Winmate's Edge AI Series, please contact our team or visit our website.

Media Contact:
Ivy Liu
ivy_liu@winmate.com.tw （Related： Supermicro's Seventh Annual Open Storage Summit Brings Together 21 Ecosystem Partners to Share Practical Guidance on Deploying Enterprise AI at Scale ｜ Latest ）