Fanless Edge AI system with NVIDIA Jetson Nano and Maxwell GPU architecture for high AI computing performance for GPU accelerated processing and intelligent edge AI applications. The system comes with a 4GB LPDDR4 onboard memory, 1 x HDMI 2.0, 1 x GbE LAN, 1 x GBE PoE, 2 x USB, and -30°C to 60°C wide range working temperature. Option for Wall, Din Rail, and VESA mount.

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FES9281-CU02

FES9300

FEC8010

Fanless Edge AI System
NVIDIA Jetson Nano with Maxwell GPU architecture
Quad-core ARM Cortex-A57 MPCore processor
4GB LPDDR4 onboard memory
1 x HDMI, 1 x GbE LAN, 2 x USB
Supports one 15W GbE PoE for camera
High AI computing performance for GPU processing
-30°C to 60°C wide range working temperature

Availability: In stock

SKU

FEC8010

Fanless edge AI system with NVIDIA Jetson Nano with Maxwell GPU, Quad-Core ARM Cortex-A57 MPCore processor, 1 x HDMI, 1 x GbE LAN, and 2 x USB ports.

Specification

Material: Heavy-duty steel
Aluminum extrusion

Embedded Board: CPU Board: NVIDIA Jetson Nano
CPU: Quad-core ARM Cortex-A57 MPCore processor
GPU: NVIDIA Maxwell GPU architecture with 128 NVIDIA CUDA cores
Memory: 1 x 4GB 64-bit LPDDR4
Storage: Onboard 16GB eMMC

Expansion Slot: 1 x full size PCI Express mini card slot (USB + PCI Express signal)
1 x SIM slot

Watchdog: Built-in nano

System Indicator: 1 x LED for system power on

I/O Interface: 1 x HDMI 2.0 with 4K2K supported
1 x 10/100/1000 Mbps Ethernet
1 x 10/100/1000 Mbps PoE
1 x USB 3.0, 1 x USB 2.0
1 x Micro USB for image flash
1 x Recovery switch
1 x Reset button
1 x Power button
1 x 12V DC power input connector

Mounting: Option for wall mount, DIN rail mount, and VESA mount

Power Supply: 12V DC power supply

Weight: 3.52 lb / 1.6 kg

Dimension: 5.8"(W) x 5.11"(D) x 1.36"(H)

OS: Linux Ubuntu 18.04

IP Protection: IP40

Environmental: Operating Temperature: -30°C to 60°C (-22°F to 140°F)
Operating Humidity: 10% ~ 95%, non-condensing
Vibration: 3 Grms with M.2 (5 to 500Hz)

Compliance: CE, FCC Class A

Dimensions

Order Info

FEC8010:
Fanless edge AI system with NVIDIA Jetson Nano, Maxwell GPU, 4GB LPDDR4 onboard memory, 1 x HDMI, 1 x GbE LAN, and -30°C to 60°C wide range working temperature. Option for wall / DIN Rail / VESA mount.

Downloads

Document

Description

Download Link

FEC8010-SP.pdf

Spec Sheet

Configure Now

FEC8010

Fanless Edge AI System
NVIDIA Jetson Nano with Maxwell GPU architecture
Quad-core ARM Cortex-A57 MPCore processor
4GB LPDDR4 onboard memory
1 x HDMI, 1 x GbE LAN, 2 x USB
1 x 15W GbE PoE for camera
-30°C to 60°C wide range working temperature
Supports Linux Ubuntu OS

Starting at:

FEC8010

CPU

Quad-core ARM Cortex-A57 MPCore CPU

Memory

4GB

Storage

Onboard 16GB eMMC

Mounting

N/A

Wall mount + $20.00

DIN rail mount + $20.00

VESA mount + $118.00

Operating System

Linux Ubuntu

PRODUCT DESCRIPTION
FEC8010 is an industrial embedded system for edge AI computing and smart city applications. FEC8010 employs the NVIDIA Jetson Nano, which integrates the quad-core ARM Cortex-A57 MPCore processor and NVIDIA Maxwell GPU architectures with 128 NVIDIA CUDA core processor. With the NVIDIA Jetson CPU board, FEC8010 is able to provide advanced computing abilities and operational reliability for demanding AI applications. The system also comes with a 4GB 64-bit LPDDR4 memory and onboard 16GB eMMC storage. FEC8010 offers various I/O ports including 1 x HDMI with 4K2K supported, 1 x GbE LAN, 1 x GbE PoE for camera, 2 x USB, and 1 x micro USB for image flash. It also comes equipped with one full-size PCI Expression mini card slot that allows users to install add-on cards and I/O cards for custom configurations. The high performance embedded system is designed with heavy-duty steel and an aluminum extrusion. It features a fanless design that improves the system's reliability and prevents dust and other contaminants from entering the system. To withstand the rigors from harsh environments, FEC8010 supports a wide temperature range of -30°C to 60°C and IP40 rated aluminum enclosure. Options for a wall mount, din rail mount, and VESA mount are available.