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WNAI-E800 industrial computer side view with metal chassis and cooling fan design
WNAI-E800 industrial computer side view with metal chassis and cooling fan design
WNAI-E800 edge AI system internal GPU and DDR5 memory configuration
WNAI-E800 AI PC rear IO ports showing LAN USB HDMI and DP connectivity
WNAI-E800 industrial edge AI computer front view with Intel 14th Gen processor and RTX GPU

Winmate WNAI-E800 Industrial Edge AI PC with Intel 14th Gen CPU and RTX GPU

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Product Code: MNHO-216

MPN #: WNAI-E800

Imagine a factory floor where every camera, sensor and robot talks to a computer that can think in real time. The WNAI-E800 Industrial Edge AI PC with Intel 14th Gen CPU and RTX GPU makes that vision real. It is built for heavy-duty AI tasks, video analytics and data processing right at the source. Many plants struggle with slow cloud links, data latency and unreliable hardware. You need a rugged, fast and secure system that can run AI models on site without delay.

 

Winmate WNAI-E800 Industrial Edge AI PC with Intel 14th Gen CPU and RTX GPU

 

The biggest problem for modern factories is the gap between data capture and decision making. When analysis waits for the cloud, production slows and errors grow. This matters because every second of delay can cost money and quality. The WNAI-E800 industrial PC closes that gap by delivering a powerful Intel i7-14700T (or optional i9-14900T) processor together with an NVIDIA RTX GPU, all inside a compact metal case. It runs AI models locally, gives instant results and keeps your network traffic low.

 

Benefits

 

    • Instant AI inference on the shop floor, so you can stop defects before they happen.
    • Rugged metal housing and wide temperature range protect the PC in harsh industrial environments.
    • Three 2.5 Gb Ethernet ports ensure fast, reliable connections to PLCs, cameras and servers.
    • Scalable memory and storage let you grow from a small pilot to a full production line.
    • Built-in TPM 2.0 and secure boot keep your data and models safe from tampering.

 

Usages

 

Use the WNAI-E800 to run visual inspection on assembly lines, detect anomalies in real time, and guide robotic arms with AI vision. It can host predictive maintenance models that read vibration sensors and warn of equipment wear before a breakdown. In logistics, the PC can sort packages by reading barcodes and images at high speed. Its multiple I/O ports also let you integrate with legacy PLCs, making it a perfect bridge between old control systems and new AI workloads.

 

Key Features

 

    • Intel Core i7-14700T up to 5.2 GHz (optional i9-14900T up to 5.5 GHz)
    • DDR5 4800 MHz SO-DIMM, default 16 GB, expandable to 64 GB
    • NVMe M.2 SSD 256 GB base, options up to 4 TB
    • NVIDIA RTX 4000 Ada 20 GB GPU (optional RTX 2000, RTX 4060, RTX 4070)
    • Three 2.5 Gb Ethernet controllers for fast networking
    • TPM 2.0 security module and optional Windows 10/11 IoT or Ubuntu 24.04 OS
    • 8 digital inputs and 8 digital outputs with 1.5 kV isolation for machine control
    • Power button with LED, clear CMOS button, and optional power button accessory
    • Metal enclosure, 323.5 230 200 mm size, 7.85 kg weight, desk-mount ready
    • Operating temperature -10 C to 50 C (optional -40 C to 60 C) and humidity 10 %-90 % RH
    • Expansion slots: PCIe 4.0 x16, PCIe 4.0 x8, PCIe 4.0 x4, M.2 slots for SSD, Wi-Fi and WWAN modules
    • 6 USB 3.2 Gen 2 ports, 2 RS232/422/485 serial ports, HDMI 2.0b and DP1.4a video outputs

SPECIFICATIONS:

Category Item Details / Specifications
System Specification Processor Intel® Core™ i7-14700T (up to 5.2GHz) (Default)
    Intel® Core™ i9-14900T (up to 5.5GHz) (Optional)
  Chipset Intel® R680E
  Memory SO-DIMM, DDR5 4800 MHz, 8+8GB (Default)
    16+16GB (Optional)
    32+32GB (Optional)
  Storage 1 x M.2 2280 M-Key NVMe SSD 256GB (Default)
    512GB / 1TB / 2TB / 4TB (Optional)
    2 x SATA III for 2.5" SSD/HDD (RAID support) (Optional)
  Ethernet controller 3 x Intel® 2.5 Gigabit Ethernet Controller
  Security TPM 2.0
  Operating System Windows 10 IoT Enterprise (64 bit) (Optional)
    Windows 11 IoT Enterprise (64 bit) (Optional)
    Windows 11 Pro 64 bit (Optional)
    Linux Ubuntu 24.04 (Do not support Wake on Touch) (Optional)
  WLAN Support (Optional)
  BT Support (Optional)
  Graphic Card NVIDIA® RTX 4000 Ada 20 GB Graphic Card (Optional)
    NVIDIA® RTX 4000 SFF Ada 20GB Graphic Card (Optional)
    NVIDIA® RTX 2000 Ada 16GB Graphic Card (Optional)
    NVIDIA® GeForce RTX 4070 Graphic Card (Optional)
    NVIDIA® GeForce RTX 4060 8GB Graphic Card (Optional)
Mechanical Dimension 323.5 x 230 x 200 mm
  Weight 7.85kg
  Mounting Desk mount
  Enclosure Metal Housing
  Cooling System Fan Design
Environment Operating Humidity 10% to 90% RH, Non-Condensing
  Operating Temp -10°C to 50°C (Default) / -40°C to 60°C (Optional)
  Storage Temp -20°C to 60°C (Default) / -40°C to 70°C (Optional)
Certification Certification CE, FCC
IO Ports USB Port 6 x USB3.2 Gen 2x1 (Type-A)
  Serial Port 2 x RS232/422/485 (Default RS232)
  LAN 3 x 2.5 Giga LAN RJ45 Connector
  Video 1 x DP1.4a DP++ (Up to 4096x2160@60Hz) (Default)
    1 x HDMI 2.0b (Up to 4096x2160@60Hz) (Optional)
  Audio Mic in / Line out
  SIM Card Slot 1 x nano SIM slot
  Expansion Port 1 x M.2 2280 M-Key Slot (for NVME SSD)
    1 x M.2 2230 E-Key Slot (for Wi-Fi module)
    1 x M.2 3042/3052 B-Key Slot (for WWAN module)
    1 x PCIe 4.0 (x16) slot
    1 x PCIe 4.0 (x4) slot (Default)
    1 x PCIe 4.0 (x8) slot (Only if PCIe x16 signal is not present)
    1 x Swappable 2.5" HDD/SSD Slot (Optional)
  DIDO (Input) 8ch dry contact DI0 ~ DI7, 1.5kV Isolation
    Logic 1: Open; Logic 0: close to GND
  DIDO (Output) 8ch DO0 ~ DO7, 1.5kV Isolation, 20mA max/channel
    by internal com 12V or 5V
  Power Input 1 x 3 Pin AC Plug
Control Button 1 x Power Button with LED Indicator
    1 x Clear CMOS Button
Accessory Accessory Power Cord

 

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