From NVIDIA Jetson to high-performance RTX GPU platforms, Winmate delivers scalable edge computing solutions for real-time industrial intelligence

TAIPEI, Taiwan — October 8, 2026 — Winmate highlights its AI Edge Computing Series, a product portfolio designed to help organizations deploy artificial intelligence closer to where data is generated. Positioned at the intersection of AI and IoT, the series supports real-time analytics, AI-assisted inspection, edge AI inference, and connected AIoT applications across manufacturing, healthcare, smart transportation, robotics, and smart city infrastructure.

According to Winmate's Edge AI Computing overview, the portfolio combines NVIDIA Jetson modules and discrete NVIDIA RTX GPU acceleration with Intel processor-based industrial computers, rugged and fanless designs, and industrial-grade connectivity. These systems are designed to accelerate AI processing, real-time data analysis, machine vision, predictive maintenance, and visualization at the edge.

At the high-performance end of the portfolio, Winmate offers the WNAI-E800L and WNAI-E800S industrial edge AI computers with support for 12th and 14th Gen Intel® Raptor Lake-S processors (LGA 1700). The WNAI-E800L supports one NVIDIA RTX PRO 6000 Blackwell or GeForce RTX 5090 GPU, while the WNAI-E800S supports one NVIDIA RTX PRO 6000 Blackwell or GeForce RTX 5080 GPU. Both systems support up to 96GB of dual-channel non-ECC SO-DIMM memory, six USB 3.2 ports, three Intel® 2.5GbE LAN ports, two display outputs through HDMI 2.0 and DisplayPort 1.4a, and Intel® vPro technology for demanding AI, machine vision, and deep learning workloads.

Vehicle Signal and Control System Integration

For embedded AI and vision deployments that require NVIDIA Jetson architecture, the WNAI-E600 brings NVIDIA® Jetson AGX Orin— performance to rugged edge AI applications, delivering up to 275 TOPS. Its connectivity includes one 10GbE LAN, one Gigabit LAN, eight optional GMSL2 camera interfaces with FAKRA connectors, four optional GigE PoE ports, isolated CAN Bus, and isolated 8-in/8-out DIO for smart transportation, autonomous systems, and multi-camera vision. For control cabinets and DIN-rail installations, the NTDRW100 provides NVIDIA® Jetson Orin— Nano performance up to 67 TOPS in a compact fanless form factor with isolated 9-36 V DC input, Gigabit LAN with PoE, USB, serial, CAN FD, and isolated DIO interfaces.

Optional GigE PoE Configuration for IP Camera Applications

For projects based on Ethernet cameras, the WNAI-E600 is also available with an optional 4 × GigE LAN configuration supporting IEEE 802.3af PoE/PSE. PoE allows compatible cameras to receive power and transmit data through a single Ethernet cable, helping reduce cabling complexity inside the vehicle.

The GMSL2 and four-port PoE options are alternative configurations. System integrators can select the interface architecture that best matches the camera type, installation environment, and project requirements.

Key highlights:

• AI Edge Computing portfolio for AIoT, industrial analytics, edge inference, and machine vision.

• NVIDIA Jetson-powered edge AI computers delivering up to 67 TOPS with the NTDRW100 and up to 275 TOPS with the WNAI-E600.

• High-performance industrial systems supporting a single NVIDIA RTX PRO 6000 Blackwell GPU, GeForce RTX 5090, or GeForce RTX 5080, depending on the model.

• Deployment options spanning compact fanless DIN-rail systems to high-performance industrial AI computers for factory automation, robotics, machine vision, smart transportation, healthcare, smart retail, and smart city applications.

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