How to Install and Uninstall libcuda1-384 Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 17,2024

1. Install "libcuda1-384" package

Please follow the steps below to install libcuda1-384 on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libcuda1-384
            
                    
    
    Copied

2. Uninstall "libcuda1-384" package

This tutorial shows how to uninstall libcuda1-384 on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                libcuda1-384
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libcuda1-384 package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libcuda1-384
Architecture: amd64
Version: 384.130-0ubuntu0.16.04.2
Priority: optional
Section: restricted/misc
Source: nvidia-graphics-drivers-384
Origin: Ubuntu
Maintainer: Ubuntu Core Developers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 24746
Provides: libcuda-5.0-1, libcuda-5.5-1, libcuda-6.0-1, libcuda-6.5-1, libcuda-7.0-1, libcuda-7.5-1, libcuda-8.0-1, libcuda-9.0-1
Depends: libc6 (>= 2.2.5), nvidia-384 (>= 384.130)
Breaks: libcuda-5.0-1, libcuda-5.5-1, libcuda-6.0-1, libcuda-6.5-1, libcuda-7.0-1, libcuda-7.5-1, libcuda-8.0-1, libcuda-9.0-1
Replaces: libcuda-5.0-1, libcuda-5.5-1, libcuda-6.0-1, libcuda-6.5-1, libcuda-7.0-1, libcuda-7.5-1, libcuda-8.0-1, libcuda-9.0-1
Filename: pool/restricted/n/nvidia-graphics-drivers-384/libcuda1-384_384.130-0ubuntu0.16.04.2_amd64.deb
Size: 3702844
MD5sum: e08afa7bc443d851d6e96680be0fba4e
SHA1: bd4258664a7915e1906f1bd4455324ba850865f5
SHA256: 47be52639cd8e0485c26e04a36c945d60e498e03b4d5a5746245e242b69f1d59
SHA512: 849a6e1e7c615389a34c6b69e18eb10e04d739b4d5fcbdb1e5de012da84075583c7952ab9d3669cb34b8a06a73c4bce15845b69def2a2bd41aa0246cfd63f03c
Description-en: NVIDIA CUDA runtime library
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
.
This package contains the driver specific runtime library.
.
Supported NVIDIA devices include GPUs starting from GeForce 8 and Quadro FX
series, as well as the Tesla computing processors.
Description-md5: 6cd8a29ce828440044bf16ef76348773
Supported: 5y

Package: libcuda1-384
Architecture: amd64
Version: 384.130-0ubuntu0.16.04.1
Priority: optional
Section: restricted/misc
Source: nvidia-graphics-drivers-384
Origin: Ubuntu
Maintainer: Ubuntu Core Developers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 24746
Provides: libcuda-5.0-1, libcuda-5.5-1, libcuda-6.0-1, libcuda-6.5-1, libcuda-7.0-1, libcuda-7.5-1, libcuda-8.0-1, libcuda-9.0-1
Depends: libc6 (>= 2.2.5), nvidia-384 (>= 384.130)
Breaks: libcuda-5.0-1, libcuda-5.5-1, libcuda-6.0-1, libcuda-6.5-1, libcuda-7.0-1, libcuda-7.5-1, libcuda-8.0-1, libcuda-9.0-1
Replaces: libcuda-5.0-1, libcuda-5.5-1, libcuda-6.0-1, libcuda-6.5-1, libcuda-7.0-1, libcuda-7.5-1, libcuda-8.0-1, libcuda-9.0-1
Filename: pool/restricted/n/nvidia-graphics-drivers-384/libcuda1-384_384.130-0ubuntu0.16.04.1_amd64.deb
Size: 3702212
MD5sum: 1f422181eec2d4919a7109456695c4cc
SHA1: 66c358a5744369c31b405f9020b1f68f0396a955
SHA256: 08f0451fe9d1cd705c4bad719fb2d79a49bbc0b62d92cd0c0fb72a5d4606b114
SHA512: f4632b49b04ec278ae2eaba11028db2582133fd602658351597d44a201901567fb8763ed8ffb326928333793b0729b93e108698f6773fe2e8e4bb77c815f27f2
Description-en: NVIDIA CUDA runtime library
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
.
This package contains the driver specific runtime library.
.
Supported NVIDIA devices include GPUs starting from GeForce 8 and Quadro FX
series, as well as the Tesla computing processors.
Description-md5: 6cd8a29ce828440044bf16ef76348773
Supported: 5y