Server-Class AI at the Edge Meet WNAI-E600 Uncompromised Server-Grade Power

Winmate, Taipei, 29.01.2026 - As AI migrates from the cloud to the edge, you need more than just a computer – you need a powerhouse capable of real-time, complex model processing. We are proud to introduce the WNAI-E600 Edge AI Computer, a flagship solution engineered for the next generation of autonomous machines and smart city applications.

Why Choose the WNAI-E600?

At the heart of the WNAI-E600 lies the NVIDIA® Jetson AGX Orin™ module. This isn't just an upgrade; it is a quantum leap in computing power.

Server-Class AI Performance

Say goodbye to latency. The WNAI-E600 delivers up to 275 TOPS (INT8) of AI performance. That is an 8x performance increase compared to the previous generation Jetson Xavier. This allows you to run multiple concurrent neural networks for high-resolution imaging and complex sensor fusion tasks effortlessly.

Rugged Design for the Edge

Edge computing often happens in harsh environments. The WNAI-E600 is built to withstand them:

• Wide Temperature Range: Operates reliably from -20°C to 60°C.
• Shock & Vibration Resistant: Compliant with MIL-STD-810G, making it perfect for mobile installations like Autonomous Mobile Robots (AMRs).
• Fanless Architecture: Reduces maintenance costs and prevents dust ingress.

Extensive Connectivity & Expandability

To meet diverse IoT demands, the WNAI-E600 features a comprehensive array of interfaces:

• High-Speed Networking: Dual LAN support (10GbE & 1GbE) ensures zero bottlenecks in big data transmission.
• Vision Interfaces: Supports GMSL2 camera interfaces, specifically optimized for AMR visual navigation.
• Wireless Ready: Expansion support for 4G/5G, WLAN, and GNSS modules.

Target Applications

The WNAI-E600 is engineered for mission-critical tasks requiring instant decision-making:

• Smart Factories & AMRs: Enabling high-precision Visual SLAM (VSLAM) and autonomous path planning.
• Intelligent Transportation Systems (ITS): Real-time traffic flow analysis, license plate recognition (LPR), and intersection safety monitoring.
• Medical Imaging: Processing endoscopic or ultrasound imagery at the edge to assist doctors with real-time diagnostics.

Technical Specifications Summary

• Model Name: WNAI-E600
• AI Compute Module: NVIDIA® Jetson AGX Orin™ (32GB / 64GB)
• AI Performance: Up to 275 TOPS
• CPU: 12-core Arm® Cortex®-A78AE v8.2 64-bit CPU
• GPU: NVIDIA Ampere architecture with 2048 NVIDIA CUDA® cores
• Memory: 32GB / 64GB 256-bit LPDDR5
• Storage: M.2 NVMe SSD Support
• Power Input: 9V - 36V DC-in (Wide Voltage)

Experience the Future of Edge Computing

Don’t let hardware limit your AI imagination. The WNAI-E600 is now open for inquiries and sample testing.