How to Install and Uninstall libcublaslt12 Package on Kali Linux
Last updated: December 28,2024
1. Install "libcublaslt12" package
Please follow the step by step instructions below to install libcublaslt12 on Kali Linux
$
sudo apt update
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$
sudo apt install
libcublaslt12
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2. Uninstall "libcublaslt12" package
Here is a brief guide to show you how to uninstall libcublaslt12 on Kali Linux:
$
sudo apt remove
libcublaslt12
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libcublaslt12 package on Kali Linux
Package: libcublaslt12
Source: nvidia-cuda-toolkit (12.0.1-4)
Version: 12.0.2.224~12.0.1-4
Installed-Size: 495874
Maintainer: Debian NVIDIA Maintainers
Architecture: amd64
Depends: libc6 (>= 2.34), libgcc-s1 (>= 4.2)
Conflicts: cuda-license-10-1, cuda-license-10-2
Size: 181839176
SHA256: c7ff9ae08f537e9b466b77ac0c77f412f9e1fa5bec7f8815a518ec36889cbbb2
SHA1: 8dca8ebd8b993baad1d75b1f84031485e18c3525
MD5sum: 88f7fb31076bba58763ec310520d00cc
Description: NVIDIA cuBLASLt Library
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
.
The cuBLASLt library is a lightweight GEMM library with a flexible API and
tensor core support for INT8 inputs and FP16 CGEMM split-complex matrix
multiplication.
.
This package contains the cuBLASLt runtime library.
Description-md5:
Multi-Arch: same
Homepage: https://developer.nvidia.com/cuda-zone
Section: non-free/libs
Priority: optional
Filename: pool/non-free/n/nvidia-cuda-toolkit/libcublaslt12_12.0.2.224~12.0.1-4_amd64.deb
Source: nvidia-cuda-toolkit (12.0.1-4)
Version: 12.0.2.224~12.0.1-4
Installed-Size: 495874
Maintainer: Debian NVIDIA Maintainers
Architecture: amd64
Depends: libc6 (>= 2.34), libgcc-s1 (>= 4.2)
Conflicts: cuda-license-10-1, cuda-license-10-2
Size: 181839176
SHA256: c7ff9ae08f537e9b466b77ac0c77f412f9e1fa5bec7f8815a518ec36889cbbb2
SHA1: 8dca8ebd8b993baad1d75b1f84031485e18c3525
MD5sum: 88f7fb31076bba58763ec310520d00cc
Description: NVIDIA cuBLASLt Library
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
.
The cuBLASLt library is a lightweight GEMM library with a flexible API and
tensor core support for INT8 inputs and FP16 CGEMM split-complex matrix
multiplication.
.
This package contains the cuBLASLt runtime library.
Description-md5:
Multi-Arch: same
Homepage: https://developer.nvidia.com/cuda-zone
Section: non-free/libs
Priority: optional
Filename: pool/non-free/n/nvidia-cuda-toolkit/libcublaslt12_12.0.2.224~12.0.1-4_amd64.deb