This page explains how Edge AI Gateway is classified within Computer, Electronic and Optical Product Manufacturing. Technical values and manufacturer relationships are research references; confirm the current specification and supplier evidence for each order.
A specialized hardware device that performs artificial intelligence inference at the network edge, connecting IoT devices to cloud services while processing data locally.
Technical details and manufacturing context for Edge AI Gateway
| Parameter | Typical range | Notes & selection driver |
|---|---|---|
| AI Processing PerformanceRequired | 8–16 TOPS | Maximum AI inference performance in trillions of operations per second |
| Processor TypeRequired | ARM Cortex-A72 null | Type of main processing unit (CPU, GPU, NPU, or combination) |
| Memory CapacityRequired | 4–8 GB | Total system memory available for applications and AI models |
| Storage CapacityRequired | 32–128 GB | Internal storage for operating system, applications, and model storage |
| Power ConsumptionRequired | 5–15 W | Typical power consumption during normal operation |
| Operating TemperatureRequired | -40–85 °C | Temperature range within which the device operates reliably |
| Network InterfacesRequired | 2×GbE, 1×4G LTE null | Types and quantities of network connectivity ports |
| Supported AI FrameworksRequired | TensorFlow, PyTorch, ONNX null | Compatible machine learning frameworks (TensorFlow, PyTorch, etc.) |
| Input Voltage | 9–36 V DC | Wide range |
| Ingress Protection | IP40–IP65 | Depends on enclosureIEC 60529 |
| Dimensions | 120×80×30 mm | DIN rail mount |
| Weight | 0.5–1.0 kg | |
| Operating Humidity | 5–95 % RH | Non-condensing |
| Certifications | CE, FCC, RoHS |
Ranges are indicative industry figures for RFQ preparation, not a supplier commitment. Confirm every value and standard with the legal manufacturer before ordering.
Commonly used trade names and technical identifiers for Edge AI Gateway.
| pressure: | N/A (electronic device) |
| other spec: | Humidity: 10% to 90% non-condensing, Power: 12-48V DC |
| temperature: | -20°C to 70°C |
Indicative industry ranges for design and RFQ preparation. Confirm the exact figures and applicable standard with the manufacturer before specifying.
Quoted from the published standard.
Manufacturer profiles associated with Edge AI Gateway.
Manufacturer listings support early research and capability understanding. They are not certification, ranking, or transaction guarantees.
A practical evidence checklist for RFQ preparation and supplier evaluation.
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The AI processing performance is typically in the range of 8 to 16 TOPS (trillions of operations per second). This value is a reference range; the actual performance depends on the specific model and configuration. Always verify with the manufacturer.
It supports common industrial protocols such as Modbus, OPC UA, and MQTT. These protocols enable communication with a wide range of sensors and devices. The exact set of supported protocols may vary by model, so confirm with the supplier.
The device operates reliably in a temperature range of -40 to 85°C and a humidity range of 5–95% RH (non-condensing). These are general ranges; specific models may have different limits. Check the datasheet for the exact model.
The listed certifications include CE, FCC, and RoHS. However, these are reference standards and do not guarantee that a specific product is certified. Always verify compliance with the legal manufacturer or supplier for the exact model.
Editorial classification, named public sources where available, and source-reviewed manufacturer records.
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