NVIDIA’s aggregate and cumulative liability towards customer for the productĭescribed in this guide shall be limited in accordance with the NVIDIA terms and Notwithstanding any damages that customer might incur for any reason whatsoever, NONINFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A PARTICULAR PURPOSE. INFORMATION FOR THE PRODUCT, AND EXPRESSLY DISCLAIMS ALL IMPLIED WARRANTIES OF WARRANTIES, EXPRESSED, IMPLIED, STATUTORY, OR OTHERWISE WITH RESPECT TO THE THE INFORMATION IN THIS GUIDE AND ALL OTHER INFORMATION CONTAINED IN NVIDIAĭOCUMENTATION REFERENCED IN THIS GUIDE IS PROVIDED “AS IS.” NVIDIA MAKES NO Nsight-graphics-for-embeddedlinux-2022.6.0.0 The following table lists JetPack components that you can install with apt, and the packages that contain them. $ sudo apt-get install cuda-cross-aarch64-11-4 cuda-cupti-cross-aarch64-11-7 cuda-sanitizer-11-7 cuda-toolkit-11-4 libnvvpi2 nsight-compute-2022.2.1 nsight-compute-addon-l4t-2022.2.1 nsight-graphics-for-embeddedlinux-2022.3.0.0 nsight-systems-2022.3.3 nvsci python3.8-vpi2 vpi2-demos vpi2-cross-aarch64-l4t vpi2-dev vpi2-samples Use apt to download and install the required packages. Meta-packages can be installed either on top of Jetson Linux, or in a container runningĮnter the following command to install the public key of the x86_64 repositoryĪdd the following x86_64 repository to the host system's source list.įor an Ubuntu 18.04 host: deb r35.4 mainįor an Ubuntu 20.04 host: deb r35.4 mainĮnter the following command: $ sudo apt update OR install individual component meta-packages depending on your requirements. You can install either the higher level meta-packages using apt install, Nvidia-jetpack-dev meta-package includes everything required for development. Nvidia-jetpack-runtime includes runtime only parts of JetPackĬomponents and does not include samples, documentation, etc. At a higher level, the nvidia-jetpack meta-package includes The following is a list of meta-packages that are available to easily install | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. It also installed CUDA Version: 10.2 nvidia-smi The driver changed from nouveau to nvidia. From the ubuntu menu I went to Software and Updates > Additional Drivers and installed nvidia-driver-430. I did not have any proprietary nvidia-driver installed. The whole terminal output can be seen here.Ĭapabilities: pm msi pciexpress vga_controller bus_master cap_list rom var/cache/apt/archives/libnvidia-compute-430_430.26-0ubuntu0.18.04.2_bĮ: Sub-process /usr/bin/dpkg returned an error code (1) Trying to overwrite '/usr/lib/x86_64-linux-gnu/libnvidia-ml.so', which is also in package nvidia-340 340.107-0ubuntu0.18.04.3Įrrors were encountered while processing: I got dpkg: error processing archive /var/cache/apt/archives/libnvidia-compute-430_430.26-0ubuntu0.18.04.2_b (-unpack): When I tried sudo apt -fix-broken install Try 'apt -fix-broken install' with no packages (or specify a solution). Libcuinj64-9.1 : Depends: libcuda1 (>= 387.26) orĮ: Unmet dependencies. The following packages have unmet dependencies: sudo apt-get install linux-headers-$(uname -r) I ran into trouble when I tried to install linux headers by the following command. I am trying to install CUDA in Ubuntu 18.04.3 LTS according to this documentation from nvidia.
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