WNAI-E600 Overview
Multi-camera AI, such as a vision cell, an autonomous vehicle test rig or a perception system on mobile equipment, needs serious inference close to the sensors. The WNAI-E600 is Winmate’s fanless edge AI computer for those jobs, with an NVIDIA Jetson AGX Orin module of up to 275 TOPS, 10GbE and optional GMSL2 camera inputs.
The standard module is the Jetson AGX Orin 32GB with an eight-core Arm Cortex-A78AE CPU and 32 GB of 256-bit LPDDR5, and the AGX Orin 64GB with a 12-core CPU and 64 GB is optional. It runs Linux with NVIDIA JetPack 6.2. Storage is 64 GB eMMC as standard, with two optional M.2 2280 NVMe SSDs of up to 4 TB, an optional Micro SD card of up to 512 GB and an optional 2.5″ SSD or hard drive. TPM 2.0 is on board.
The WNAI-E600 has one 10GbE and one Gigabit Ethernet port, four USB 3.2 Gen 2 Type-A ports, two RS-232/422/485 ports on DB9, two isolated CAN FD channels on one DB9 and isolated digital I/O with eight inputs and eight outputs. Eight GMSL2 inputs on FAKRA are optional, or four GbE PoE ports to IEEE 802.3af in their place; with PoE fitted, one NVMe SSD is supported. HDMI 2.0b is optional, as are Wi-Fi, Bluetooth, GPS and 4G or 5G, with two SIM slots. Within the Winmate range the NTDRW100 is a DIN-rail box PC with a Jetson Orin Nano for lighter inference, and the WNAI-E800S pairs a 14th Gen Intel Core processor with an optional NVIDIA RTX GPU.
Power is an isolated 9 to 36 V DC input on a three-pin terminal block, with ignition control optional for vehicle use. The fanless housing runs from -25 to 60 °C in 30 W mode with 0.63 m/s airflow, or -25 to 45 °C in 40 or 50 W mode. It carries CE and FCC marks. We supply it configured, with JetPack installed, and tested before dispatch.
WNAI-E600 Specifications
| Overview | |
|---|---|
| Brand & Model | Winmate WNAI-E600 |
| Features | Embedded Fanless GPU Industrial Isolated I/O |
| Performance | |
| AI Performance | 200–275 TOPS |
| Memory | 32GB Soldered On-board 64GB Soldered On-board |
| System-on-Module | NVIDIA Jetson AGX Orin 32GB: 200 TOPS, 1792-core Ampere GPU with 56 Tensor Cores, 8-core Arm Cortex-A78AE 2.2GHz, 32GB 256-bit LPDDR5, 64GB eMMC, 15-40W NVIDIA Jetson AGX Orin 64GB: 275 TOPS, 2048-core Ampere GPU with 64 Tensor Cores, 12-core Arm Cortex-A78AE 2.2GHz, 64GB 256-bit LPDDR5, 64GB eMMC, 15-60W |
| Secure Crypto Processor | TPM 2.0 (Trusted Platform Module) |
| Operating System | Linux |
| Jetpack Version | JetPack 6.2 |
| Graphics | |
| Display Outputs | 1x Optional HDMI |
| I/O | |
| Ethernet | 2x Ethernet Ports |
| 1x 10 GbE LAN [RJ45] 1x GbE LAN [RJ45] | |
| USB | 6x USB Ports |
| 2x USB 2.0 [Board] 4x USB 3.2 Gen 2 [Type A] | |
| Serial | 2x Serial Ports |
| 2x RS232/422/485 [DB9] | |
| CANbus | 2x CANbus Ports |
| 2x Isolated CAN FD [DB9] | |
| Digital I/O | Isolated DIO [8-in, 8-out] |
| Expansion | |
| M.2 | 4x M.2 Expansion Slots |
| 1x M.2 B-Key [3042/3052] 1x M.2 E-Key [2230] 2x M.2 M-Key [PCIe] [2280] | |
| Wireless Connectivity | Optional 4G/5G Optional GPS/GLONASS Optional WiFi/Bluetooth |
| Storage | |
| Storage | 1x 2.5" HDD/SSD 1x Micro SD 2x M.2 SSD 64GB eMMC |
| NVMe | NVMe SSD Support |
| Power | |
| Power Input | 9-36V DC Input [Terminal Block] |
| Environmental Conditions | |
| Thermal Dissipation | Fanless Passively Cooled Chassis |
| Operating Temperature | -25°C to 60°C [-13°F to 140°F] |
| Storage Temperature | -25°C to 60°C [-13°F to 140°F] |
| Humidity | 10-90% (Non-condensing) |
| Certification | CE FCC |
| Mechanical Properties | |
| Dimensions | 250mm x 170mm x 92mm (9.84" x 6.69" x 3.60") |
| Mounting Options | Desktop |
- WNAI-E600 Datasheet Download
Official Winmate USA Distributor
Things Embedded is an official Winmate USA distributor, supplying the WNAI-E600 configured, with JetPack installed, and tested for USA edge AI and automation projects. Within the Winmate range the NTDRW100 is a DIN-rail Jetson Orin Nano box PC for single-camera or lighter workloads.
The WNAI-E600 sits among our Jetson AGX Orin computers, our rugged Jetson computers and our edge AI computers. Where multi-camera inference needs AGX Orin performance, this is a sensible model to specify.
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