WNAI-E800
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)
- 3 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)
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CERTIFICATIONS
WNAI-E800
Intel® 14th Gen Core™ Processor with NVIDIA® RTX™ GPU Industrial Edge AI Computer
Product Details
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.
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 (Optional)
1TB (Optional)
2TB (Optional)
4TB
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)
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
-10°C to 50°C (Default)
-40°C to 60°C (Optional)
Storage Temperature
-20°C to 60°C (Default)
-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 (Default)
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 4.0 (x16) slot
1 x PCIe 4.0 (x4) slot (Default)
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
Product FAQs
What is the Winmate WNAI-E800 used for?
The Winmate WNAI-E800 is an industrial Edge AI computer designed for high-compute workloads such as AI-assisted defect inspection, deep learning inference, visual analytics, and other industrial AIoT applications that need more graphics and expansion headroom than a typical compact box PC.
What processor platform does the WNAI-E800 use?
The WNAI-E800 uses Intel’s 14th Generation Core platform. The detailed specification lists the Intel Core i7-14700T as the default processor and the Intel Core i9-14900T as an option, paired with the Intel R680E chipset and Intel vPro support noted in the key features.
How much memory does the WNAI-E800 support?
The WNAI-E800 uses dual SO-DIMM DDR5 memory. The detailed specification lists 8GB + 8GB as default with 16GB + 16GB and 32GB + 32GB options, while the key feature block states support up to 96GB. Because the headline and detailed spec do not perfectly match, it is best to confirm the exact maximum memory configuration with Winmate before final publication or quoting.
What storage options are available on the WNAI-E800?
The WNAI-E800 provides 1 x M.2 2280 M-Key NVMe SSD with 256GB listed as the default and higher capacities up to 4TB shown on the specification page. It also supports optional 2 x SATA III connections for 2.5-inch SSD or HDD storage with RAID support, making it suitable for applications that need both speed and local data redundancy.
What networking features does the WNAI-E800 offer?
The detailed specification lists 3 x Intel 2.5 Gigabit Ethernet controllers and 3 x 2.5GbE RJ45 LAN ports. The key feature block also mentions an optional additional 4 Gigabit LAN arrangement, so the final network configuration should be matched to the selected build and application requirements.
What graphics cards does the WNAI-E800 support?
The WNAI-E800 is designed for discrete GPU deployment and supports a single NVIDIA RTX graphics card. The product page highlights compatibility with RTX 2000 Ada, GeForce RTX 4060, GeForce RTX 4070, RTX 4000 Ada, and RTX 6000 Ada class options, while the detailed specification specifically lists RTX 4000 Ada, RTX 4000 SFF Ada, RTX 2000 Ada, RTX 4070, and RTX 4060 variants.
What I/O interfaces are included on the WNAI-E800?
The WNAI-E800 includes 6 x USB 3.2 Gen 2x1 Type-A ports, 2 x RS232/422/485 serial ports, 1 x DisplayPort 1.4a, optional HDMI 2.0b, Mic in, Line out, 8-channel isolated digital input, 8-channel isolated digital output, and a nano SIM slot. This gives integrators a practical mix of industrial control, display, and communications interfaces.
What expansion options does the WNAI-E800 provide?
The WNAI-E800 provides an M.2 2280 M-Key slot for NVMe SSD, an M.2 2230 E-Key slot for WLAN, an M.2 3042/3052 B-Key slot for WWAN, one PCIe 4.0 x16 slot, one PCIe 4.0 x4 slot by default, and an alternative PCIe 4.0 x8 path when the x16 signal is not present. It also lists an optional swappable 2.5-inch HDD or SSD slot, which gives the platform strong deployment flexibility.
Which operating systems are supported by the WNAI-E800?
The WNAI-E800 supports Windows 10 IoT Enterprise, Windows 11 IoT Enterprise, Windows 11 Pro, and Ubuntu 24.04. TPM 2.0 is also included, which is important when the device is being evaluated for managed enterprise or industrial security environments.
Is the WNAI-E800 suitable for industrial environments?
Yes. The WNAI-E800 uses a rugged metal housing and is specified for -10°C to 50°C operation in the default version, with an optional range of -40°C to 60°C for tougher environments. It also lists CE and FCC certification, which supports industrial deployment planning.
