How to Install and Uninstall libcudart11.0 Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: September 20,2024

1. Install "libcudart11.0" package

Please follow the guidelines below to install libcudart11.0 on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libcudart11.0
            
                    
    
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2. Uninstall "libcudart11.0" package

In this section, we are going to explain the necessary steps to uninstall libcudart11.0 on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                libcudart11.0
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libcudart11.0 package on Ubuntu 21.04 (Hirsute Hippo)

Package: libcudart11.0
Architecture: amd64
Version: 11.2.152~11.2.2-1ubuntu1
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: 678
Depends: libc6 (>= 2.3.3)
Recommends: libnvidia-compute-460 (>= 460) | libnvidia-compute-460-server (>= 460) | libcuda.so.1 (>= 460) | libcuda-11.2-1
Filename: pool/multiverse/n/nvidia-cuda-toolkit/libcudart11.0_11.2.152~11.2.2-1ubuntu1_amd64.deb
Size: 144080
MD5sum: 7dcd228d80fc5c1aa78a662320ce4936
SHA1: 885be3c425423552a3cfba486c023ca127f25836
SHA256: 2373d22e1385d8cc7c67e9088608aacf082ce1ee5b50b4ccaac1fca0e3ef4395
SHA512: f86ac2fa35d746a745232385e9a1303724dd0a1b03f65311a29a5095316de9cd1e29a3e65d37a9850f3b20943cc1a79bcbaa07757974fc0605f0aac67c6720d1
Homepage: https://developer.nvidia.com/cuda-zone
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 CUDA Runtime API library for high-level CUDA
programming, on top of the CUDA Driver API.
Description-md5: d81acb8bf87762012a0607e71f8eff2e