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The Latency Trap (Hidden Cost)

The Latency Trap: A Hidden Cost of Cloud Robotics​

Simulating in the cloud works well for training and testing, but controlling a real robot from a cloud instance is dangerous due to network latency. The delay between sending a command and the robot executing it can lead to unpredictable and unsafe behavior.

The Solution: Train in the Cloud, Deploy on the Edge​

The solution to the latency trap is a "train in the cloud, deploy on the edge" workflow:

  1. Train in the Cloud: Use the power of cloud workstations to train your AI models.
  2. Download the Model: Once your model is trained, download the model weights to your local machine.
  3. Flash to the Edge: Flash the trained model to your local Jetson kit for real-world deployment.

This approach combines the best of both worlds: the power of the cloud for training and the low-latency responsiveness of an edge device for real-time control.