Edge Operating System

Deploy Intelligence at the Edge

SmartLinkOS-EdgeAI is an enterprise, containerized OS designed specifically for industrial gateways. Ingest raw telemetry, deploy microservices, and run neural network models offline with low latency.

View Live Console View Quickstart

SmartLinkOS-EdgeAI Gateways Illustration

Interactive Demo

Live Edge OS Telemetry Console

Interact with our live simulated gateway running SmartLinkOS. Check how hardware loads, model inference frame-rates, bounding boxes, and system log lines sync in real time.

Camera Feed - Object Detection Node #041

INFERENCE RUNNING

System Telemetry

Inference

48 ms

GPU Temp

54.2°C

Workload

42%

Technical Features

Designed for Mission-Critical Hardware

Our edge operating system combines containerized isolation with deep hardware acceleration, ensuring your industrial intelligence stays online 24/7.

Hardware Inferences

Native acceleration drivers compiled for NVIDIA Jetson TensorRT cores, Intel OpenVINO, and Google Coral TPUs. Run YOLOs and CNNs with single-digit millisecond latency.

Microservice Containerization

Runs custom edge applications inside isolated container environments. Safely update your camera processing logic or protocol driver scripts without affecting system cores.

Industrial Protocol Ingestion

Pre-loaded integrations for Modbus TCP/RTU, OPC UA, BACnet, and MQTT Sparkplug B. Easily translate heavy industrial registry variables into JSON objects.

Dual-Partition OTA Updates

A/B partition system upgrades protect gateways from bricking. If an OTA update fails midway, the bootloader automatically reverts back to the working partition.

Offline In-Memory Queue

Our embedded offline databases buffer logs, video segments, and sensor values during network outages, transferring files securely when connection returns.

Zero-Configuration Dashboard

Gateways register with SmartLinkCloud automatically. Visualize system health, telemetry throughput, and sensor outputs without custom code.

Hardware & Protocols

Extensive Gateway Support

SmartLinkOS-EdgeAI runs on diverse system architecture types and links to standard industrial protocols without requiring manual driver compilation.

Supported Architectures:

NVIDIA Jetson Nano/Orin Intel x86_64 Gateway Raspberry Pi 4 / 5 ARM Cortex Gateway

Supported Protocols:

Modbus RTU / TCP OPC UA Client MQTT / Sparkplug B BACnet IP PROFINET

Data Pipeline Path

1. Sensors & AMI Meters

Raw inputs read over Modbus/OPC UA registries

2. SmartLinkOS Edge Gateway

Local filter, AI model inference, in-memory DB buffer

3. SmartLinkCloud Uplink

Secure payload transmission, dashboards, alert triggers

Developer Docs

Developer-First Ingestion

Deploying an edge pipeline script is direct. Using our Python SDK, you can map Modbus sensors and push structured values to SmartLinkCloud with 10 lines of code.

Standard Python 3.10+ environments
Secure local TLS keys provided automatically
Lightweight Docker container packaging

Browse Developer API

main.py

            import smartlink_edge as edge
            import time
            
            # Connect to local SmartLinkOS bus
            client = edge.EdgeClient(device_id="gateway-041")
            client.connect()
            
            while True:
                # Query Modbus sensor reading
                temp = client.read_modbus(register="4001")
                
                # Push telemetry payload to cloud bridge
                client.publish("sensors/temperature", {
                    "timestamp": time.time(),
                    "value": temp
                })
                
                time.sleep(1.0)
          

Evaluate SmartLinkOS

Get a Demo OS Image

Download an evaluation OS image pre-configured for Raspberry Pi 4/5 or Intel NUC gateways and test your AI models in minutes.

Request OS Image SDK Guides