JetPack 4.2.2 - L4T R32.2.1 update with DeepStream 4.0.1

JetPack 4.2.2 is the latest production release supporting Jetson Nano, Jetson TX1/TX2, and Jetson AGX Xavier.

All features are the same as JetPack 4.2.1, except:

JetPack 4.2.2 components:

  • L4T R32.2 (K4.9)
  • Ubuntu 18.04 LTS aarch64
  • CUDA 10.0.326
  • cuDNN
  • TensorRT
  • VisionWorks 1.6
  • OpenCV 3.3.1
  • Nsight Systems 2019.4
  • Nsight Graphics 2019.2
  • SDK Manager 0.9.14

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Hello Dusty,

Just downloaded SDK Manager 0.9.14 with JetPack 4.2.2 and flashed to TX2, but the CUDA samples in bin directory are all gone, please advise where I can get back the CUDA sanples.

When will CUDA 10.1 is available on TX2?

Thanks and Best Regards
Hoe Min

Hi Hoe Min, you can build them from the /usr/local/cuda/samples directory with make or sudo make if needed.

Is running the sdk manager (i.e. installing the latest TX2 image) on a Ubuntu 16.04 host running in a virtual machine (using Parallels Desktop 14) supported? I noticed the following problems:

  1. error installing CUDA on the host machine (since the host is a virtual machine, probably expected
  2. automated target install did not work, even though I could ssh into the target (as user nvidia) just fine.
  3. Manual install failed SEVERAL times before it finally worked. BTW creating the OS image again is probably not necessary if the previous failure was during flash–don’t you agree?
  4. SDK installation also failed, all except the Nvidia container runtime. The first SDK component (CUDA) failed in the middle.

Since the nvidia sdk installer experience has been painful for me… is there a way to install the SDK component on a running TX2?

Hi dusty!

Very excited to see the recent developments in NVIDIA Container Runtime for Jetson! Do you know if the production release of nvidia-docker is planned for Jetpack 4.3 and is there a planned release date?


Hi Cesar, I’m not sure if it will be the production version of nvidia-docker for Jetson or not, but there are being enhancements and fixes rolled in.