How to Install and Uninstall nvidia-compute-utils-470-server Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 18,2024

1. Install "nvidia-compute-utils-470-server" package

This guide let you learn how to install nvidia-compute-utils-470-server on Ubuntu 21.10 (Impish Indri)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                nvidia-compute-utils-470-server
            
                    
    
    Copied

2. Uninstall "nvidia-compute-utils-470-server" package

Here is a brief guide to show you how to uninstall nvidia-compute-utils-470-server on Ubuntu 21.10 (Impish Indri):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                nvidia-compute-utils-470-server
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the nvidia-compute-utils-470-server package on Ubuntu 21.10 (Impish Indri)

Package: nvidia-compute-utils-470-server
Architecture: amd64
Version: 470.82.01-0ubuntu0.21.10.1
Priority: optional
Section: restricted/libs
Source: nvidia-graphics-drivers-470-server
Origin: Ubuntu
Maintainer: Ubuntu Core Developers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 318
Provides: nvidia-compute-utils, nvidia-persistenced
Depends: libnvidia-compute-470-server, adduser, libc6 (>= 2.3.2)
Conflicts: nvidia-compute-utils, nvidia-persistenced
Replaces: nvidia-compute-utils, nvidia-persistenced
Filename: pool/restricted/n/nvidia-graphics-drivers-470-server/nvidia-compute-utils-470-server_470.82.01-0ubuntu0.21.10.1_amd64.deb
Size: 113024
MD5sum: 48c58fc5aa7c326c582ec519adc6a37f
SHA1: c034d17d6e752ec093f331841f8f8b5c082587b9
SHA256: c973c0ce8d3b569a77ec8227a211b10adaf4da88c9ab5a0d400618890d9c2758
SHA512: c8b48ebc19b9aa8c375ea06ba99c2b01b5dd5b023b6902cafbf9855a7a97bc596f232d1d1f342b718a139c1a42fcde62d215beeed61a9ebb2724ef77e5d80f8c
Homepage: http://www.nvidia.com
Description-en: NVIDIA compute utilities
This package provides utility binaries for paraller general purpose
computing use cases with the NVIDIA Server Driver.
.
CUDA MPS is a feature that allows multiple CUDA processes to share a single
GPU context. CUDA MPS should be transparent to CUDA programs.
.
CUDA MPS requires a device that supports Unified Virtual Address (UVA) and
has compute capability SM 3.5 or higher.
Pre-CUDA 4.0 APIs are not supported under CUDA MPS.
Description-md5: 22d91d0fcba51df4741637e102ab12c2

Package: nvidia-compute-utils-470-server
Architecture: amd64
Version: 470.57.02-0ubuntu4
Priority: optional
Section: restricted/libs
Source: nvidia-graphics-drivers-470-server
Origin: Ubuntu
Maintainer: Ubuntu Core Developers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 318
Provides: nvidia-compute-utils, nvidia-persistenced
Depends: libnvidia-compute-470-server, adduser, libc6 (>= 2.3.2)
Conflicts: nvidia-compute-utils, nvidia-persistenced
Replaces: nvidia-compute-utils, nvidia-persistenced
Filename: pool/restricted/n/nvidia-graphics-drivers-470-server/nvidia-compute-utils-470-server_470.57.02-0ubuntu4_amd64.deb
Size: 112998
MD5sum: 923d27b4d7dd0eed218c82acc18db4f5
SHA1: 7a664976560243a6a0d577d6afbbb8e7443cb5ff
SHA256: 6d95e8e36583f17cb89442515b1987f62b5dcd7222ec0b716d483b2d605ffae5
SHA512: e41337ac883dd543a2997effeb724bf6c92c1579e4ebb6dc04631e74331c5ecb2df33ee8ab33da00406b7c859eb236aaa0776a622b51fccc161a951bef7431aa
Homepage: http://www.nvidia.com
Description-en: NVIDIA compute utilities
This package provides utility binaries for paraller general purpose
computing use cases with the NVIDIA Server Driver.
.
CUDA MPS is a feature that allows multiple CUDA processes to share a single
GPU context. CUDA MPS should be transparent to CUDA programs.
.
CUDA MPS requires a device that supports Unified Virtual Address (UVA) and
has compute capability SM 3.5 or higher.
Pre-CUDA 4.0 APIs are not supported under CUDA MPS.
Description-md5: 22d91d0fcba51df4741637e102ab12c2