Recommended versions w/ RTX3070 to run SIM, transfer learning, Jetson

I have Isaac Sim running via Omniverse. Just trained object detection using the given docker. OOPS - the RTX3070 isn’t supported on the tensorRT7.0 in the docker (tltexport). Forum claims I also need to upgrade CUDA to 11.2.

Any recommendations to run both Isaac SIM as well as the TLT toolkit on a desktop with an RTX3070?

Like what are the real versions that Isaac SIM will work with - the recommended ones (version_checker.py) are too low for TLT.

Thanks!

p.s. Jetson is next - after all this is working…

Hello,

For TLT you require a driver newer than 455 ( TLT Quick Start Guide — Transfer Learning Toolkit 3.0 documentation (nvidia.com)), while for Isaac sim Omniverse there is a strict requirement of 460.67: Isaac Sim Requirements — Omniverse Robotics documentation (nvidia.com)

For your use case, I would only use 460.67 and install properly docker for TLT. Now, you should not need to worry about cuda, or TensorRT version, since those will be handled by docker in the background. This webinar walks you through TLT and how to deploy on jetson: Webinar: Create Gesture-Based Interactions with a Robot | NVIDIA Developer Blog

One thing to be cautious when moving to jetson is the versions of Jetpack, that will determine your TRT version, which in the case of jetson matters unlike in the workstation. The thing you should make sure is that the tlt-converter version matches your jetpack version.

Let me know if this answers your question :)