Edge AI
Run local inference close to cameras, sensors, and workflows
Edge AI buyers need a clearer path than generic mini PC shoppers. The page should separate NPU-class systems from GPU or Jetson-class systems and point complex projects to sales.
Selection guide
What this buyer needs to decide
Use this page to translate a deployment scenario into product families, specs, support requirements, and a next action.
Recommended models
Start with Edge A1 for mainstream local AI and Edge G1 for heavier vision, automation, and robotics workloads.
- NPU/GPU positioning.
- Ubuntu path.
- Camera and USB I/O.
Decision factors
AI workloads require validation before a buyer commits.
- Model size and runtime.
- Thermal headroom.
- Linux support.
- Deployment quantity.
Next step
Move from scenario to model selection
Once the scenario is clear, the user should open Compare Models or contact sales for project-specific recommendations.