How to Install and Uninstall nvidia-visual-profiler Package on Ubuntu 22.10 (Kinetic Kudu)

Last updated: January 10,2025

1. Install "nvidia-visual-profiler" package

Here is a brief guide to show you how to install nvidia-visual-profiler on Ubuntu 22.10 (Kinetic Kudu)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                nvidia-visual-profiler
            
                    
    
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2. Uninstall "nvidia-visual-profiler" package

In this section, we are going to explain the necessary steps to uninstall nvidia-visual-profiler on Ubuntu 22.10 (Kinetic Kudu):


    
        
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                sudo apt remove
            
                        
                nvidia-visual-profiler
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the nvidia-visual-profiler package on Ubuntu 22.10 (Kinetic Kudu)

Package: nvidia-visual-profiler
Architecture: amd64
Version: 11.5.126~11.5.2-1ubuntu1
Priority: extra
Section: multiverse/devel
Source: nvidia-cuda-toolkit (11.5.2-1ubuntu1)
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian NVIDIA Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 131636
Depends: openjdk-8-jre, libgtk2.0-0, nvidia-profiler (= 11.5.114~11.5.2-1ubuntu1), perl:any, libc6 (>= 2.3)
Recommends: nvidia-cuda-toolkit-doc (= 11.5.2-1ubuntu1)
Filename: pool/multiverse/n/nvidia-cuda-toolkit/nvidia-visual-profiler_11.5.126~11.5.2-1ubuntu1_amd64.deb
Size: 108484676
MD5sum: 0c63995ba7b56ffa7d00023178413c0f
SHA1: 3192c02133223faf7863fe3e2068e3973f88434f
SHA256: ba0e06bde4baeca874ce43d0bea9262c6781f78dc98f4d3f58cc2e62018a60f6
SHA512: ac04d12ce27896f6b34f451d0a50bf63842078f258e6b2cac31b7dc0024b896ec6f5fa3fad1735a09ede5c45996d8a3002295bcf88f02b390821b2e93ef92127
Homepage: https://developer.nvidia.com/nvidia-visual-profiler
Description: NVIDIA Visual Profiler for CUDA and OpenCL
Description-md5: c762f649b112cccddd5b9e96863b94c7