Winmate WNAI-E800L Intel Core i9/i7 14th Gen GPU Edge AI Box PC with NVIDIA RTX PRO Blackwell Option and AC Power

Deep learning inference on high-resolution cameras, or several models running at once, usually needs a full-size GPU rather than an embedded accelerator. The WNAI-E800L is Winmate’s GPU edge AI box PC for that, with a 14th Gen Intel Core processor and a PCIe x16 slot for an optional NVIDIA RTX card, powered from an internal AC supply.

The Core i7-14700T runs at up to 5.2 GHz as standard, and the Core i9-14900T at up to 5.5 GHz is optional, both on the Intel R680E chipset with Intel vPro support. Two non-ECC SO-DIMM slots take up to 96 GB. The PCIe x16 slot is built for NVIDIA RTX cards such as the RTX PRO 6000 Blackwell or GeForce RTX 5090, both optional, which typically suits AI-assisted defect inspection and robotics workloads. Storage is an SSD of 128 GB as standard with options to 4 TB, plus two optional 2.5″ SATA III drives with RAID support. TPM 2.0 is on board, with Windows 11 IoT Enterprise, Windows 11 Pro or Linux Ubuntu 24.04.

The WNAI-E800L has three 2.5GbE ports on Intel controllers, six USB 3.2 Gen 2 Type-A ports, two RS-232/422/485 ports (RS-232 by default), and mic and line-out audio. DisplayPort 1.4a at up to 4096 x 2160 at 60 Hz is standard and HDMI 2.0b is optional, for two displays. Expansion is a PCIe x16 slot with 16 lanes for an NVIDIA RTX card, two PCIe x8 slots with four lanes, an M.2 E-key slot for optional Wi-Fi and an M.2 B-key slot for an optional 4G module. Within the Winmate range the WNAI-E800S is the DC-powered version with an 8 to 48 V input, and the WNAI-E600 is a fanless Jetson AGX Orin computer for lower-power inference.

Power comes through a three-pin AC plug to an internal ATX supply of up to 1200 W. The fan-cooled housing runs from -20 to 60 °C and sits on a desk or bench. It carries CE and FCC marks. We supply the WNAI-E800L configured, with the OS installed, and tested before dispatch, with any GPU card fitted and checked.