Edge AI & NVIDIA Jetson
Industrial AI running where your machines are.
The industrial problem
Cloud-based AI is often not an option in production: latency is too high, bandwidth is too expensive, and sensitive machine data or video cannot leave the factory. Industrial AI needs compute close to the machines – compact, energy-efficient, and reliable.
How it works
We develop, optimize, deploy, and maintain AI applications on NVIDIA Jetson platforms – Jetson Orin Nano, Orin NX, AGX Orin, and other industrial edge platforms where appropriate. That includes model optimization for embedded GPUs, real-time video pipelines, multi-camera support, and remote monitoring of deployed devices.
Jetson hardware is not the complete solution by itself – it is the edge computing platform we use to deliver reliable industrial AI applications, integrated with your machines and networks.
Typical data sources
- NVIDIA Jetson Orin Nano
- NVIDIA Jetson Orin NX
- NVIDIA Jetson AGX Orin
- Industrial PCs with NVIDIA GPUs
Business value
- Local inference with low latency
- Reduced cloud dependency and transfer costs
- Lower energy consumption than server-class hardware
- Secure processing inside the factory
- Compact deployment close to the machines
Deployment architecture
- 1Jetson device installed at the line or in the cabinet
- 2Optimized AI models run inference locally
- 3Results integrate with PLCs and factory systems
- 4Fleet monitoring keeps deployed devices healthy
Integration
- Multiple camera streams per device
- Results to PLCs, databases, and dashboards
- Containerized deployment and remote updates
- Device health monitoring and maintenance
Example use cases
- Edge AI inspection running on NVIDIA Jetson
- Real-time video analytics for multiple cameras
- AI vision in cells without stable network connectivity
- Retrofit AI capability for existing production lines
Interested in this solution?
Tell us about your machines and processes – we will propose a practical architecture and a pilot you can evaluate.
Discuss your project