OmniEdge with Nvidia JETSON Project

OmniEdge v2.x provides industrial-grade networking for NVIDIA Jetson devices, with 6-Sigma stability (Cpk 2.92) validated through longitudinal testing - ideal for real-time robot control and AI inference.

Supported Jetson Devices

Tools We Need

• NVIDIA Jetson Board (Nano, Xavier, Orin, etc.)
• MicroSD Card 32GB+ (for Nano) or NVMe SSD (for Orin)
• Power Supply (USB-C or barrel jack depending on model)
• OmniEdge CLI v2.x for Linux ARM64

Step 1: Set Up Your Jetson

Download the JetPack SDK for your Jetson model and flash it to your storage device following NVIDIA's instructions.

For Jetson Nano with SD card:

# Download the SD card image
wget https://developer.nvidia.com/embedded/l4t/r32_release_vX.X/...

# Flash to SD card (macOS example)
diskutil list external | fgrep '/dev/disk'
diskutil unmountDisk /dev/diskN
sudo dd if=~/Downloads/jetson-nano-sd-card-image.img of=/dev/rdiskN bs=1m

Step 2: Boot and Configure

1. Insert the SD card/NVMe into your Jetson
2. Connect power, HDMI, keyboard
3. Complete the Ubuntu desktop setup
4. Connect to your network (Ethernet or WiFi)

Step 3: Install OmniEdge CLI

Download and install the OmniEdge CLI for ARM64:

curl -fsSL https://raw.githubusercontent.com/omniedgeio/omniedge/main/scripts/omniedge-install.sh | bash

Or install manually:

# Download ARM64 package
wget https://github.com/omniedgeio/omniedge/releases/latest/download/omniedge-cli-v2.2.1-linux-aarch64.tar.gz
tar -xzf omniedge-cli-v2.2.1-linux-aarch64.tar.gz
sudo mv omniedge /usr/local/bin/

Step 4: Connect to Your Virtual Network

Interactive Login (First Time)

# Start OmniEdge - will prompt for browser login on first run
sudo omniedge start

This opens a browser for authentication. After login, select your virtual network.

Non-Interactive Login (Headless/CI)

For headless Jetson deployments, use a security key:

# Generate a security key from https://connect.omniedge.io/dashboard
sudo omniedge start -s YOUR_SECURITY_KEY -n YOUR_NETWORK_ID

Step 5: Verify Connection

# Check connection status
omniedge status

# Example output:
# Status: Connected
# Virtual IP: 10.147.1.5
# Network: My Robot Fleet
# Interface: omniedge0
# NAT Type: Port-Restricted Cone
# Relay: enabled (not in use)

Step 6: Connect to Your Jetson Remotely

From your laptop (also running OmniEdge in the same network):

# SSH to Jetson using virtual IP
ssh jetson-user@10.147.1.5

# Or use VS Code Remote SSH
code --remote ssh-remote+jetson-user@10.147.1.5

Use Cases for Jetson + OmniEdge

Robot Fleet Management

Connect multiple Jetson-powered robots across different locations:

# On each robot
sudo omniedge start -s $FLEET_KEY -n $FLEET_NETWORK

# Robots can now communicate via virtual IPs
# Robot 1: 10.147.1.1
# Robot 2: 10.147.1.2
# Control station: 10.147.1.100

Federated Learning

Distribute model training across edge devices:

# Each Jetson joins the training network
sudo omniedge start -n federated-learning-net

# Gradient exchange happens over encrypted mesh
# No need for complex firewall rules or port forwarding

Remote Debugging

Debug AI models running on Jetson from anywhere:

# On Jetson: Start Jupyter with OmniEdge IP
jupyter lab --ip=10.147.1.5 --no-browser

# On your laptop: Access via virtual IP
open http://10.147.1.5:8888

Running as a System Service

For production deployments, run OmniEdge as a systemd service:

# Create systemd service
sudo tee /etc/systemd/system/omniedge.service << 'EOF'
[Unit]
Description=OmniEdge VPN
After=network-online.target
Wants=network-online.target

[Service]
Type=simple
ExecStart=/usr/local/bin/omniedge start -s YOUR_SECURITY_KEY -n YOUR_NETWORK_ID
Restart=always
RestartSec=10

[Install]
WantedBy=multi-user.target
EOF

# Enable and start
sudo systemctl daemon-reload
sudo systemctl enable omniedge
sudo systemctl start omniedge

Performance on Jetson

OmniEdge v2.x is optimized for ARM64 with minimal CPU overhead:

If you have more questions, feel free to discuss.