How to Install and Uninstall libnvjpeg11 Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: February 24,2025

1. Install "libnvjpeg11" package

Please follow the guidelines below to install libnvjpeg11 on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libnvjpeg11
            
                    
    
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2. Uninstall "libnvjpeg11" package

Please follow the steps below to uninstall libnvjpeg11 on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                libnvjpeg11
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libnvjpeg11 package on Ubuntu 21.04 (Hirsute Hippo)

Package: libnvjpeg11
Architecture: amd64
Version: 11.4.0.152~11.2.2-1ubuntu1
Multi-Arch: same
Priority: optional
Section: multiverse/libs
Source: nvidia-cuda-toolkit (11.2.2-1ubuntu1)
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian NVIDIA Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 4180
Depends: libc6 (>= 2.3.3), libgcc-s1 (>= 3.4), libstdc++6 (>= 4.4)
Filename: pool/multiverse/n/nvidia-cuda-toolkit/libnvjpeg11_11.4.0.152~11.2.2-1ubuntu1_amd64.deb
Size: 1499892
MD5sum: 26c08901a08768cee2c722594f42b768
SHA1: c968c5bedd49969d10a9dc79ac5f94d004792ec6
SHA256: f13fe15bfe28205a7f267d89aa9b31207064ef8d521451d7f06d4d3636f52425
SHA512: d54b4d67122cf97e6d77d6928c93459e131587e625a2d17c32f8ce4ee57eeb8bc9133df1b498dddf08701e2ed51a6ca395a5f91144e578fe7281357e8e8a22d3
Homepage: https://developer.nvidia.com/cuda-zone
Description-en: NVIDIA JPEG library (nvJPEG)
The nvJPEG 1.0 library provides high-performance, GPU accelerated JPEG
decoding functionality for image formats commonly used in deep learning and
hyperscale multimedia applications. The library offers single and batched JPEG
decoding capabilities which efficiently utilize the available GPU resources
for optimum performance; and the flexibility for users to manage the memory
allocation needed for decoding.
Description-md5: 623ac7d33181f0192b9126244e553a5c