Recommendation about Module Predict Control for time series dataset

Autonomous Machines Jetson & Embedded Systems Jetson Nano
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I have a time series iot dataset and I am interested in NVIDIA for building a module predict control for prediction. However, I am unable to find anything like it. Any recommendations!

2

You can explore NVIDIA RAPIDS, NVIDIA DeepStream, and the NVIDIA Triton Inference Server.
Please refer to the above product documentation for more details.

1 Like
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Thank you for the recommendation. I am thinking of using a jetson device for this use i.e. developing a module predicitive control for a PLC based control system. I have some devices shortlisted and need some recommendation:
1- NVIDIA Jetson Nano Development kit
2- AGX Xavier Industrial
3- AGX Xavier

I want to accumulate TB worth of data generate by the sensors, build model predictive control and perform inference that can communicated to control system. Should I use one of the above device to solely build end-to-end application (accumulating data, training and inference)? Any other possible solution by NVIDIA relevant to my use case (not a computer vision problem).

6

Hi,

We are moving this post to the Jetson related forum to get better help.

Thank you.

7

You may refer to below links to make your decision:
Jetson Benchmarks | NVIDIA Developer
Jetson FAQ | NVIDIA Developer

8

@sale2 I have some basic time-series forecasting/prediction examples using PyTorch here, but it is introductory and far from SOTA so you will probably want to look for research or other projects in the area:

Also since I made that, a new package called pytorch-forecasting as come out: PyTorch Forecasting Documentation — pytorch-forecasting documentation

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