Specifications
Type
Industrial Edge AI computer (GPU-expandable box PC)
Processor
Intel Core i7-14700T up to 5.2 GHz (default); Core i9-14900T up to 5.5 GHz (optional)
Chipset
Intel R680E with vPro support
Memory
Dual SO-DIMM DDR5-4800; 16 GB default, up to 96 GB
Storage
M.2 2280 NVMe SSD 256 GB – 4 TB; optional 2x 2.5-inch SATA (RAID)
GPU Support
NVIDIA RTX A4000 / A5000 / A6000 via PCIe
Optional Accelerators
Intel and Hailo AI chips supported
Expansion
1x PCIe 4.0 x4 slot; M.2 Key M, M.2 E-Key (Wi-Fi), M.2 B-Key (WWAN)
Networking
3x Intel 2.5 Gigabit Ethernet
Display
1x HDMI 2.0 + 1x DisplayPort 1.4a (dual display)
Swappable Bay
Optional swappable 2.5-inch HDD/SSD slot
Security
TPM 2.0
Thermal
Efficient thermal management for 24/7 industrial operation
Cloud
Cloud integration for AI applications and collaborative learning
Applications
AI defect inspection, deep learning, machine vision, healthcare, smart city
Overview
The Winmate WNAI-E800 is an industrial Edge AI computer built around Intel's 14th Generation Core platform. It ships with a Core i7-14700T (up to 5.2 GHz) and supports the Core i9-14900T (up to 5.5 GHz) on an Intel R680E chipset with vPro.
What sets it apart is GPU expansion: the WNAI-E800 supports NVIDIA RTX A4000, A5000 and A6000 cards over PCIe, with optional Intel and Hailo AI accelerators — enabling AI-assisted defect inspection, deep learning and low-latency inference directly on the factory floor. Dual SO-DIMM DDR5-4800 runs up to 96 GB.
With triple 2.5 Gigabit Ethernet, dual display outputs, a PCIe 4.0 x4 slot, TPM 2.0 and 24/7 industrial thermal management, it is a compact but expandable platform for machine vision, healthcare imaging and smart-city edge AI.
Key Benefits
14th Gen performance: Core i7-14700T / i9-14900T on R680E. RTX GPU-ready: A4000/A5000/A6000 support. Expandable: PCIe 4.0 x4 plus M.2 storage/Wi-Fi/WWAN. Industrial: triple 2.5 GbE, TPM 2.0, 24/7 thermals.
Applications
AI-assisted defect inspection, deep-learning inference, machine-vision systems, healthcare imaging, smart-city analytics and industrial edge AIoT.
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