Downloads:
506,902
Downloads of v 11.0.1:
1,301
Last Update:
12 Jun 2020
Package Maintainer(s):
Software Author(s):
- NVIDIA
Tags:
cuda NVIDIA development environment high pergormance GPU-accelerated applications- Software Specific:
- Software Site
- Software License
- Software Docs
- Package Specific:
- Package Source
- Package outdated?
- Package broken?
- Contact Maintainers
- Contact Site Admins
- Software Vendor?
- Report Abuse
- Download
NVIDIA CUDA Toolkit
This is not the latest version of NVIDIA CUDA Toolkit available.
- 1
- 2
- 3
11.0.1 | Updated: 12 Jun 2020
- Software Specific:
- Software Site
- Software License
- Software Docs
- Package Specific:
- Package Source
- Package outdated?
- Package broken?
- Contact Maintainers
- Contact Site Admins
- Software Vendor?
- Report Abuse
- Download
Downloads:
506,902
Downloads of v 11.0.1:
1,301
Software Author(s):
- NVIDIA
NVIDIA CUDA Toolkit 11.0.1
This is not the latest version of NVIDIA CUDA Toolkit available.
- 1
- 2
- 3
This Package Contains an Exempted Check
Not All Tests Have Passed
Deployment Method: Individual Install, Upgrade, & Uninstall
To install NVIDIA CUDA Toolkit, run the following command from the command line or from PowerShell:
To upgrade NVIDIA CUDA Toolkit, run the following command from the command line or from PowerShell:
To uninstall NVIDIA CUDA Toolkit, run the following command from the command line or from PowerShell:
Deployment Method:
This applies to both open source and commercial editions of Chocolatey.
1. Enter Your Internal Repository Url
(this should look similar to https://community.chocolatey.org/api/v2/)
2. Setup Your Environment
1. Ensure you are set for organizational deployment
Please see the organizational deployment guide
2. Get the package into your environment
Option 1: Cached Package (Unreliable, Requires Internet - Same As Community)-
Open Source or Commercial:
- Proxy Repository - Create a proxy nuget repository on Nexus, Artifactory Pro, or a proxy Chocolatey repository on ProGet. Point your upstream to https://community.chocolatey.org/api/v2/. Packages cache on first access automatically. Make sure your choco clients are using your proxy repository as a source and NOT the default community repository. See source command for more information.
- You can also just download the package and push it to a repository Download
-
Open Source
-
Download the package:
Download - Follow manual internalization instructions
-
-
Package Internalizer (C4B)
-
Run: (additional options)
choco download cuda --internalize --version=11.0.1 --source=https://community.chocolatey.org/api/v2/
-
For package and dependencies run:
choco push --source="'INTERNAL REPO URL'"
- Automate package internalization
-
Run: (additional options)
3. Copy Your Script
choco upgrade cuda -y --source="'INTERNAL REPO URL'" --version="'11.0.1'" [other options]
See options you can pass to upgrade.
See best practices for scripting.
Add this to a PowerShell script or use a Batch script with tools and in places where you are calling directly to Chocolatey. If you are integrating, keep in mind enhanced exit codes.
If you do use a PowerShell script, use the following to ensure bad exit codes are shown as failures:
choco upgrade cuda -y --source="'INTERNAL REPO URL'" --version="'11.0.1'"
$exitCode = $LASTEXITCODE
Write-Verbose "Exit code was $exitCode"
$validExitCodes = @(0, 1605, 1614, 1641, 3010)
if ($validExitCodes -contains $exitCode) {
Exit 0
}
Exit $exitCode
- name: Install cuda
win_chocolatey:
name: cuda
version: '11.0.1'
source: INTERNAL REPO URL
state: present
See docs at https://docs.ansible.com/ansible/latest/modules/win_chocolatey_module.html.
chocolatey_package 'cuda' do
action :install
source 'INTERNAL REPO URL'
version '11.0.1'
end
See docs at https://docs.chef.io/resource_chocolatey_package.html.
cChocoPackageInstaller cuda
{
Name = "cuda"
Version = "11.0.1"
Source = "INTERNAL REPO URL"
}
Requires cChoco DSC Resource. See docs at https://github.com/chocolatey/cChoco.
package { 'cuda':
ensure => '11.0.1',
provider => 'chocolatey',
source => 'INTERNAL REPO URL',
}
Requires Puppet Chocolatey Provider module. See docs at https://forge.puppet.com/puppetlabs/chocolatey.
4. If applicable - Chocolatey configuration/installation
See infrastructure management matrix for Chocolatey configuration elements and examples.
Private CDN cached downloads available for licensed customers. Never experience 404 breakages again! Learn more...
There are versions of this package awaiting moderation . See the Version History section below.
This package was approved as a trusted package on 13 Jun 2020.
The NVIDIA® CUDA® Toolkit provides a development environment for creating high performance GPU-accelerated applications. With the CUDA Toolkit, you can develop, optimize and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms and HPC supercomputers. The toolkit includes GPU-accelerated libraries, debugging and optimization tools, a C/C++ compiler and a runtime library to deploy your application.
GPU-accelerated CUDA libraries enable drop-in acceleration across multiple domains such as linear algebra, image and video processing, deep learning and graph analytics. For developing custom algorithms, you can use available integrations with commonly used languages and numerical packages as well as well-published development APIs. Your CUDA applications can be deployed across all NVIDIA GPU families available on premise and on GPU instances in the cloud. Using built-in capabilities for distributing computations across multi-GPU configurations, scientists and researchers can develop applications that scale from single GPU workstations to cloud installations with thousands of GPUs.
To get started, browse through online getting started resources, optimization guides, illustrative examples and collaborate with the rapidly growing developer community.
$ErrorActionPreference = 'Stop';
$packageName = $env:ChocolateyPackageName
foreach ($software in @('NVIDIA CUDA Documentation *', 'NVIDIA CUDA Development *', 'NVIDIA CUDA Samples *', 'NVIDIA CUDA Visual Studio Integration *')) {
$uninstalled = $false
[array]$key = Get-UninstallRegistryKey -SoftwareName $software
if ($key.Count -eq 1) {
$key | % {
$file = ("$($_.UninstallString)" -Split '" "'| select -First 1) + '"'
$silentArgs = '"' + ("$($_.UninstallString)" -Split '" "'| Select -Last 1) + " -silent"
Uninstall-ChocolateyPackage -PackageName "$packagename" -File "$file" -SilentArgs "$silentArgs"
}
} elseif ($key.Count -eq 0) {
Write-Warning "$packageName has already been uninstalled by other means."
} elseif ($key.Count -gt 1) {
Write-Warning "$($key.Count) matches found!"
Write-Warning "To prevent accidental data loss, no programs will be uninstalled."
Write-Warning "Please alert package maintainer the following keys were matched:"
$key | % {Write-Warning "- $($_.DisplayName)"}
}
Sleep 5
}
# Uninstall MSI packages
foreach ($software in @( 'NVIDIA Nsight Compute *', 'NVIDIA Nsight Systems *', 'NVIDIA Nsight Visual Studio Edition *', 'NVIDIA Tools Extension SDK (NVTX) - 64 bit')) {
$packageArgs = @{
packageName = $env:ChocolateyPackageName
fileType = 'MSI'
silentArgs = "/qn /norestart"
validExitCodes= @(0, 3010, 1605, 1614, 1641)
}
$uninstalled = $false
[array]$key = Get-UninstallRegistryKey -SoftwareName $software
if ($key.Count -eq 1) {
$key | % {
$packageArgs['file'] = "$($_.UninstallString)"
if ($packageArgs['fileType'] -eq 'MSI') {
$packageArgs['silentArgs'] = "$($_.PSChildName) $($packageArgs['silentArgs'])"
}
Uninstall-ChocolateyPackage @packageArgs
}
} elseif ($key.Count -eq 0) {
Write-Warning "$packageName has already been uninstalled by other means."
} elseif ($key.Count -gt 1) {
Write-Warning "$($key.Count) matches found!"
Write-Warning "To prevent accidental data loss, no programs will be uninstalled."
Write-Warning "Please alert package maintainer the following keys were matched:"
$key | % {Write-Warning "- $($_.DisplayName)"}
}
}
Log in or click on link to see number of positives.
- cuda.11.0.1.nupkg (8a0589dde50e) - ## / 63
In cases where actual malware is found, the packages are subject to removal. Software sometimes has false positives. Moderators do not necessarily validate the safety of the underlying software, only that a package retrieves software from the official distribution point and/or validate embedded software against official distribution point (where distribution rights allow redistribution).
Chocolatey Pro provides runtime protection from possible malware.
Add to Builder | Version | Downloads | Last Updated | Status |
---|---|---|---|---|
NVIDIA CUDA Toolkit 12.4.0.551 | 4 | Wednesday, March 6, 2024 |
Waiting for Maintainer
|
|
NVIDIA CUDA Toolkit 12.3.2.546 | 3235 | Saturday, January 20, 2024 | Approved | |
NVIDIA CUDA Toolkit 12.2.0.53625 | 11754 | Thursday, June 29, 2023 | Approved | |
NVIDIA CUDA Toolkit 12.0.1.52833 | 9203 | Wednesday, February 1, 2023 | Approved | |
NVIDIA CUDA Toolkit 12.0.0.52741 | 5386 | Friday, December 9, 2022 | Approved | |
NVIDIA CUDA Toolkit 11.8.0.52206 | 40486 | Tuesday, October 4, 2022 | Approved | |
NVIDIA CUDA Toolkit 11.7.1.51694 | 7565 | Thursday, August 4, 2022 | Exempted | |
NVIDIA CUDA Toolkit 11.7.0.51601 | 11533 | Thursday, May 12, 2022 | Exempted | |
NVIDIA CUDA Toolkit 11.6.2.51165 | 8138 | Friday, March 25, 2022 | Exempted | |
NVIDIA CUDA Toolkit 11.6.1.51165 | 551 | Wednesday, February 23, 2022 | Exempted | |
NVIDIA CUDA Toolkit 11.6.0.51123 | 14947 | Friday, January 21, 2022 | Exempted | |
NVIDIA CUDA Toolkit 11.5.0.49613 | 27345 | Thursday, October 21, 2021 | Approved | |
NVIDIA CUDA Toolkit 11.4.2.47141 | 14200 | Wednesday, September 8, 2021 | Exempted | |
NVIDIA CUDA Toolkit 11.4.1.47141 | 10290 | Tuesday, August 3, 2021 | Exempted | |
NVIDIA CUDA Toolkit 11.4.0.47111 | 29516 | Friday, July 2, 2021 | Exempted | |
NVIDIA CUDA Toolkit 11.2.2.46133 | 272661 | Thursday, March 11, 2021 | Approved | |
NVIDIA CUDA Toolkit 11.2.1.46109 | 4657 | Saturday, February 20, 2021 | Approved | |
NVIDIA CUDA Toolkit 11.1.1 | 6179 | Friday, October 30, 2020 | Approved | |
NVIDIA CUDA Toolkit 11.1.0 | 1140 | Thursday, September 24, 2020 | Approved | |
NVIDIA CUDA Toolkit 11.0.3 | 1534 | Thursday, August 6, 2020 | Approved | |
NVIDIA CUDA Toolkit 11.0.2 | 749 | Wednesday, July 8, 2020 | Approved | |
NVIDIA CUDA Toolkit 11.0.1 | 1301 | Friday, June 12, 2020 | Approved | |
NVIDIA CUDA Toolkit 10.2.89.20191206 | 15601 | Friday, December 6, 2019 | Approved | |
NVIDIA CUDA Toolkit 10.2.89 | 780 | Sunday, November 24, 2019 | Approved | |
NVIDIA CUDA Toolkit 10.1.243 | 4521 | Thursday, August 15, 2019 | Approved | |
NVIDIA CUDA Toolkit 10.1.168 | 672 | Friday, May 24, 2019 | Approved | |
NVIDIA CUDA Toolkit 10.1 | 1246 | Sunday, May 12, 2019 | Approved | |
cuda 5.0 | 1584 | Tuesday, April 2, 2013 | Approved |
Copyright © 2019 NVIDIA Corporation
This package has no dependencies.
Ground Rules:
- This discussion is only about NVIDIA CUDA Toolkit and the NVIDIA CUDA Toolkit package. If you have feedback for Chocolatey, please contact the Google Group.
- This discussion will carry over multiple versions. If you have a comment about a particular version, please note that in your comments.
- The maintainers of this Chocolatey Package will be notified about new comments that are posted to this Disqus thread, however, it is NOT a guarantee that you will get a response. If you do not hear back from the maintainers after posting a message below, please follow up by using the link on the left side of this page or follow this link to contact maintainers. If you still hear nothing back, please follow the package triage process.
- Tell us what you love about the package or NVIDIA CUDA Toolkit, or tell us what needs improvement.
- Share your experiences with the package, or extra configuration or gotchas that you've found.
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