Developer Hardware

Hardware Platforms

Development Kits & Modules

Industrial-grade hardware designed for rapid prototyping and enterprise deployment.

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ZenthCore AI Edge

High-performance edge inference module with integrated NPU, optimized for real-time vision and LLM workloads.

12 TOPS ARM Cortex-A78 PCIe Gen3 -40°C to 85°C

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EdgeNode IoT Gateway

Multi-protocol IoT gateway with built-in MQTT, CoAP, and OPC-UA support. Industrial DIN-rail mounting.

Wi-Fi 6 / 5G 16 I/O Ports IP67 Rated Edge Analytics

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Beta

RoboLink Controller

Real-time motion control board for collaborative robotics. Supports EtherCAT, CANopen, and ROS 2.

1MHz Control Loop 8-Axis Support Safety Rated PLd Python/C++ API

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Preview

SensorGrid Matrix

Distributed sensor fusion platform for environmental monitoring, predictive maintenance, and asset tracking.

LoRaWAN / NB-IoT Battery 5Yr BLE Mesh Edge ML

Early Access Datasheet

Software Development

SDKs & Toolchains

Cross-platform development kits with unified APIs, hardware abstraction layers, and deployment utilities.

Zenth Hardware SDK for Python

High-level async API for device discovery, telemetry streaming, and OTA updates. Supports Windows, Linux, and macOS.

v3.2.1-stable Released: Oct 14, 2026 Download

v3.3.0-beta2 Released: Nov 02, 2026 Download

Zenth Hardware SDK for C/C++

Low-latency embedded framework with HAL abstraction, real-time scheduling, and zero-copy buffer management.

v4.1.0-stable Released: Oct 28, 2026 Download

v4.2.0-rc1 Released: Nov 05, 2026 Download

Zenth Hardware SDK for Rust

Memory-safe async runtime for embedded systems. Features hardware acceleration via no_std crates.

v2.8.0-stable Released: Nov 01, 2026 Download

Zenth ROS 2 Integration Pack

Official driver stack for Humble and Iron releases. Includes tf2 transforms, control_msgs, and diagnostics.

v1.5.2-humble Released: Oct 20, 2026 Install

Quick Start

Code Example

Initialize hardware, stream telemetry, and deploy models in under 15 lines.

python

                    import aevum_zenth.hw as hw
                    import asyncio
                    
                    async def main():
                        # Discover and connect to ZenthCore AI Edge module
                        device = await hw.discover("zenthcore-ai")
                        await device.connect(auth=hw.TokenAuth("ENV_ZENTH_API_KEY"))
                    
                        # Load pre-trained vision model
                        model = await device.load_model("edge-vision-yolo-v8.onnx")
                    
                        # Stream frames and run inference
                        async for frame in device.camera_stream(fps=30):
                            result = await model.predict(frame)
                            print(f"Detected: {result.classes} at {result.confidence:.2f}")
                    
                    asyncio.run(main())
                