- Not sure, I’ve tried it on Ubuntu 20.04 x86_64 though
- No, it runs from a PC
- Yes, it will be easier to upgrade with more distro partners available
- 3rd-party software depends on if it uses the available GPU-accelerated APIs
- We have been rebuilding the ML/AI stack, wheels, containers, ect for CUDA 12.2 and Python 3.10. Although jetson-containers will be able to built it against other versions for you (and PyTorch)
- No, Linux only
I have been looking for information about jepack6 for a long time, but I didn’t expect to find it here… Even if I upgrade to 22.04 through other methods, this also means that I need to reinstall jepack6. So I’d like to know if there’s a specific date so I don’t have to duplicate my work
@Senerity attempting to upgrade JetPack 5 to 22.04 I believe would leave you without CUDA support (if you try it, do it in a container…), so I would just wait and compile what you need on JetPack 5.
If a 3rd-party software can gain GPU-accelerate with a Geforce GPU, does it mean that the software can gain GPU-accelerate on Jetson?
Perhaps useful to know is that the GPU on a Jetson is integrated (iGPU) and connects directly to the memory controller. Most computers use a discrete GPU (dGPU) on the PCI bus. The driver software is different, and as a result, the method for discovering a CUDA-capable GPU also differs. If you were to try to install a dGPU (e.g., a GeForce series PCIe video card) I think you would find a number of things “break”. The two drivers don’t like to live together. I’ve heard there has been some consideration in making dGPU drivers compatible on the Jetson, but none of that seems to have happened (and I’m guessing probably won’t, but that is just a guess). Most of the 64-bit ARM drivers you see for dGPUs is for data centers and will cause problems on a Jetson.
Technically speaking though, if you could add a dGPU to a Jetson, and if the drivers did not have issues, then you probably could run GPU acceleration on applications designed for a dGPU.
I don’t mean dGPU support for Jetson Orin.
My question is, If the software can be accelerated by standard L4T just like now, does it mean it can also be accelerated when running on custom distros or kernels out of the box? For example, OS bundled Chromium, Firefox, video players, and maybe video trans-encoders.
Sorry for one more question.
I’m researching how op-TEE could empower our use case. Does L4T still support the op-TEE? What about 3rd distros?
Hi @jasl9187, it depends on if the 3rd-party software distributed in the other distros was built with GPU acceleration enabled, but presumably yes. When it comes to hardware video codecs, those would need to use enabled FFMPEG, V4L2, GStreamer, ect.
I’m not personally familiar with OP-TEE, so you may want to create a new topic about it, but yes I believe so.
OK, a final respin of the L4T BSP was needed to address some last-minute issues, and the target release date has been pushed to 12/5 (pending final validation and the actual roll-out to the public servers). Once again, sorry for the delay and thanks for your continued patience as we work to get this release out asap.
This news has to stop some of my work! Especially for CUDA work based on 22.04
Hello, I would like to know the latest progress of jetpack for Ubuntu22.04, thank you very much
With JetPack 6 you can install any distro, not only ubuntu. It’s like more pc behavior.
Jetpack 6 is amazing!
Finally, jetpack 6 today?
emmm…it seems to be today, at least that’s what @dusty_nv said
Yep it’s still supposed to be going out today! Although depending on your timezone, might be tomorrow for you by the time it’s actually live on the public servers. There will be announcement threads posted to the forums. EDIT: SDK Manager is live awhile for those of you who are so inclined.
I got jetpack 6, awesome. long time for waiting, thanks :D
Maybe I will try JP6 with my AGX Orin but I would like to know if I will get an issue using the JP6 with my 4K display ? Will it be ok with it ?
No. I’m using 4k 144hz
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