Products
Solutions & Success Stories
Corporate
Support
News & Events
WNAI-E800 Intel® 14th Gen Core™ Processor with NVIDIA® RTX™ GPU Industrial Edge AI Computer
KEY FEATURES
- Supports Intel® 14th generation Raptor Lake S processor (LGA 1700)
- Supports single NVIDIA RTX™ 2000 Ada/4060/4070/4000 Ada/6000 Ada GPU
- Up to 2 x 262pin SODIMM DDR5 5600MHz up to 96GB(48GB per Slot)
- 2 x Intel 2.5 Gigabit LAN. Optional addtional 4 Gigabit LAN.
- Supports Two display, 1 x HDMI 2.0, 1 x DP 1.4a
- Supports Intel® vPro
- Rugged Design, -40°C to 60°C operation (Optional)
- CERTIFICATIONS
Advanced Processing Performance
Powered by Intel’s processor and chipset, Winmate’s AI Edge Computing demonstrates advanced computing capabilities, facilitating quicker data processing and analysis. It supports the execution of advanced AI algorithms and models, while also optimizing power consumption, a critical factor in AIoT deployments where energy efficiency is a priority.
I/O Diversity with Intelligent Gateway Design
Winmate's AI Edge Computing offers a range of I/O inputs designed to efficiently interface with and process data from various sensors. It provides flexibility to adapt to different industry needs and offers scalability, allowing for the seamless integration of new sensors or devices. Additionally, it facilitates diverse connectivity options.
Efficient Temperature Management
Effective temperature management is vital for preventing excessive heat buildup, a factor that can lead to hardware degradation over time. By sustaining a controlled operating temperature, Winmate’s AI Edge Computing ensures enhanced longevity and durability, thereby minimizing the risk of component failures.
Seamless Cloud Connectivity
Winmate's AI Edge Computing features a Cloud integration, provide a seamless scalability option for AI applications. The integration with Cloud facilitates collaborative learning, allowing the AI Edge Computing to share data and insights with other cloud-connected devices.
AI-Driven Analysis with NVIDIA GPU Power
Winmate's AI Edge Computing is compatible with NVIDIA RTX™ 2000 Ada/4060/4070/4000 Ada/6000 Ada GPU, enhancing its capabilities for AI-assisted defect inspection. This compatibility ensures a remarkable visual experience for image projection while optimizing performance for AI machine and deep learning applications.
Processor
Intel® Core™ i7-12700TE(up to 4.6GHz)
Intel® Core™ i9-12900TE(up to 4.80GHz) (Optional)
Intel® Core™ i7-14700T(up to 5.2GHz) (Optional)
Intel® Core™ i9-14900T(up to 5.5GHz) (Optional)
Chipset
Intel® R680E
Memory
SO-DIMM, DDR5 4800 MHz, 8+8GB
16+16GB (Optional)
32+32GB (Optional)
Storage
1 x M.2 2280 M-Key NVMe SSD, 512GB
1TB (Optional)
2TB (Optional)
Ethernet controller
2 x Intel® 2.5 Gigabit Ethernet Controller
Security
TPM 2.0
Operating System
Windows 11 IoT Enterprise (64 bit) (Optional)
Windows 11 Pro 64 bit (Optional)
Linux Ubuntu 22.04(Do not support Wake on Touch) (Optional)
WLAN
Support (Optional)
BT
Support (Optional)
Graphic Card
NVIDIA® RTX 6000 Ada 48GB Graphic Card (Optional)
NVIDIA® RTX 5000 Ada 32GB Graphic Card (Optional)
NVIDIA® RTX 4500 Ada 24GB Graphic Card (Optional)
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)
Dimension
323.5 x 230 x 200 mm
Weight
7.85kg
Mounting
Desk mount
Enclosure
Metal Housing
Cooling System
Fan Design
Operating Humidity
10% to 90% RH, Non-Condensing
Operating Temperature
-20°C to 50°C
-40°C to 60°C (Optional)
Storage Temperature
-20°C to 60°C
-40°C to 70°C (Optional)
Certification
CE, FCC
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++ , Max resolution up to
4096x2160@60Hz
1 x HDMI 2.0b , Max resolution 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 5.0 (x16) slot
1 x PCIe 4.0 (x4) slot
1 x PCIe 4.0 (x8) slot（Only available when PCIe x16 signal is not present)
1 x Swappable 2.5" HDD/SSD Slot (Optional)
DIDO
Digital input:
8ch dry contact DI0 ~ DI7, 1.5kV Isolation
Logic 1 : Open ; Logic 0 : close to GND
Digital output:
8ch DO0 ~ DO7, 1.5kV Isolation, 20mA max/channel
by internal com 12V or 5V
Power Input
1 x 3 Pin AC Plug
Button
1 x Power Button with LED Indicator
1 x Clear CMOS Button
Accessory
Power Cord
Desk Mount Bracket
