NVIDIA-NCCL下载资源分享,跳过Authenticator验证

目录

  • Authenticator
  • 进入下载页面
    • [Download NCCL 2.22.3, for CUDA 12.5, June 18th, 2024](#Download NCCL 2.22.3, for CUDA 12.5, June 18th, 2024)
      • [Local installers (x86)](#Local installers (x86))
      • [Network installers (x86)](#Network installers (x86))
      • [Local installers (ARM)](#Local installers (ARM))
      • [Network installers (ARM)](#Network installers (ARM))
    • [Download NCCL 2.22.3, for CUDA 12.4, June 18th, 2024](#Download NCCL 2.22.3, for CUDA 12.4, June 18th, 2024)
      • [Local installers (x86)](#Local installers (x86))
      • [Network installers (x86)](#Network installers (x86))
      • [Local installers (ARM)](#Local installers (ARM))
      • [Network installers (ARM)](#Network installers (ARM))
    • [Download NCCL 2.22.3, for CUDA 12.2, June 18th, 2024](#Download NCCL 2.22.3, for CUDA 12.2, June 18th, 2024)
      • [Local installers (x86)](#Local installers (x86))
      • [Network installers (x86)](#Network installers (x86))
      • [Local installers (ARM)](#Local installers (ARM))
  • 如果需要其他版本请留言

Authenticator

现在NVIDIA登录需要Authenticator验证,很多人会卡在这里导致无法下载后续的资源

如果有的话,在最下面选择已验证ID扫描QR码,回到主页就能看到多出了一个NVIDIA的选项栏,输入验证码即可

进入下载页面

Download NCCL 2.22.3, for CUDA 12.5, June 18th, 2024

Local installers (x86)

O/S agnostic local installer
Local installer for Ubuntu 22.04
Local installer for Ubuntu 20.04
Local installer for RedHat/CentOS 9
Local installer for RedHat/CentOS 8

Network installers (x86)

If not already done, make sure you install the network repository:

bash 复制代码
Network Installer for Ubuntu22.04

$ wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.0-1_all.deb
$ sudo dpkg -i cuda-keyring_1.0-1_all.deb
$ sudo apt-get update
Network Installer for Ubuntu20.04

$ wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb
$ sudo dpkg -i cuda-keyring_1.0-1_all.deb
$ sudo apt-get update
Network Installer for RedHat/CentOS 9

$ sudo dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel9/x86_64/cuda-rhel9.repo
Network Installer for RedHat/CentOS 8

$ sudo dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel8/x86_64/cuda-rhel8.repo

then run the following command to installer NCCL:

For Ubuntu: sudo apt install libnccl2=2.22.3-1+cuda12.5 libnccl-dev=2.22.3-1+cuda12.5

For RHEL/Centos: sudo yum install libnccl-2.22.3-1+cuda12.5 libnccl-devel-2.22.3-1+cuda12.5 libnccl-static-2.22.3-1+cuda12.5

Local installers (ARM)

O/S agnostic local installer
Local installer for Ubuntu 22.04
Local installer for Ubuntu 20.04
Local installer for RedHat/CentOS 9
Local installer for RedHat/CentOS 8

Network installers (ARM)

If not already done, make sure you install the network repository:

bash 复制代码
Network Installer for Ubuntu22.04

$ wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/sbsa/cuda-keyring_1.0-1_all.deb
$ sudo dpkg -i cuda-keyring_1.0-1_all.deb
$ sudo apt-get update
Network Installer for Ubuntu20.04

$ wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/sbsa/cuda-keyring_1.0-1_all.deb
$ sudo dpkg -i cuda-keyring_1.0-1_all.deb
$ sudo apt-get update
Network Installer for RedHat/CentOS 9

$ sudo dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel9/sbsa/cuda-rhel9.repo
Network Installer for RedHat/CentOS 8

$ sudo dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel8/sbsa/cuda-rhel8.repo

then run the following command to installer NCCL:

For Ubuntu: sudo apt install libnccl2=2.22.3-1+cuda12.5 libnccl-dev=2.22.3-1+cuda12.5

For RHEL/Centos: sudo yum install libnccl-2.22.3-1+cuda12.5 libnccl-devel-2.22.3-1+cuda12.5 libnccl-static-2.22.3-1+cuda12.5

Download NCCL 2.22.3, for CUDA 12.4, June 18th, 2024

Local installers (x86)

O/S agnostic local installer
Local installer for Ubuntu 22.04
Local installer for Ubuntu 20.04
Local installer for RedHat/CentOS 9
Local installer for RedHat/CentOS 8

Network installers (x86)

If not already done, make sure you install the network repository:

bash 复制代码
Network Installer for Ubuntu22.04

$ wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.0-1_all.deb
$ sudo dpkg -i cuda-keyring_1.0-1_all.deb
$ sudo apt-get update
Network Installer for Ubuntu20.04

$ wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb
$ sudo dpkg -i cuda-keyring_1.0-1_all.deb
$ sudo apt-get update
Network Installer for RedHat/CentOS 9

$ sudo dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel9/x86_64/cuda-rhel9.repo
Network Installer for RedHat/CentOS 8

$ sudo dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel8/x86_64/cuda-rhel8.repo

Local installers (ARM)

O/S agnostic local installer
Local installer for Ubuntu 22.04

Network installers (ARM)

If not already done, make sure you install the network repository:

bash 复制代码
Network Installer for Ubuntu22.04

$ wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/sbsa/cuda-keyring_1.0-1_all.deb
$ sudo dpkg -i cuda-keyring_1.0-1_all.deb
$ sudo apt-get update

then run the following command to installer NCCL:

For Ubuntu: sudo apt install libnccl2=2.22.3-1+cuda12.4 libnccl-dev=2.22.3-1+cuda12.4

For RHEL/Centos: sudo yum install libnccl-2.22.3-1+cuda12.4 libnccl-devel-2.22.3-1+cuda12.4 libnccl-static-2.22.3-1+cuda12.4

Download NCCL 2.22.3, for CUDA 12.2, June 18th, 2024

Local installers (x86)

O/S agnostic local installer
Local installer for Ubuntu 22.04
Local installer for RedHat/CentOS 9

Network installers (x86)

If not already done, make sure you install the network repository:

bash 复制代码
Network Installer for Ubuntu22.04

$ wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.0-1_all.deb
$ sudo dpkg -i cuda-keyring_1.0-1_all.deb
$ sudo apt-get update
Network Installer for RedHat/CentOS 9

$ sudo dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel9/x86_64/cuda-rhel9.repo

then run the following command to installer NCCL:

For Ubuntu: sudo apt install libnccl2=2.22.3-1+cuda12.2 libnccl-dev=2.22.3-1+cuda12.2

For RHEL/Centos: sudo yum install libnccl-2.22.3-1+cuda12.2 libnccl-devel-2.22.3-1+cuda12.2 libnccl-static-2.22.3-1+cuda12.2

Local installers (ARM)

O/S agnostic local installer

如果需要其他版本请留言

相关推荐
量子位5 天前
黄仁勋子女成长路径曝光:一个学烘焙一个开酒吧,从基层做到英伟达高管
ai编程·nvidia
小马敲马5 天前
[4.2-2] NCCL新版本的register如何实现的?
开发语言·c++·人工智能·算法·性能优化·nccl
程序员JerrySUN12 天前
GPU 基础矩阵精规组织教程:从基础作用到实战应用
数据库·系统架构·gpu算力
努力一点94813 天前
ubuntu22.04系统实践 linux基础入门命令(三) 用户管理命令
linux·运维·服务器·人工智能·ubuntu·gpu算力
Ray Song13 天前
CUDA杂记--nvcc使用介绍
nvidia·cuda·nvcc
吾鳴14 天前
网信办约谈英伟达,H20芯片后门风波震动中国AI产业
人工智能·nvidia·芯片
weixin_3077791315 天前
设计Mock华为昇腾GPU的MindSpore和CANN的库的流程与实现
c++·算法·华为·系统架构·gpu算力
努力一点94815 天前
ubuntu22.04系统入门 linux入门(二) 简单命令 多实践以及相关文件管理命令
linux·运维·服务器·人工智能·gpu算力
weixin_3077791315 天前
设计Mock CUDA库的流程与实现
c++·算法·gpu算力
努力一点94816 天前
ubuntu22.04系统入门 linux入门 简单命令基础复习 实现以及实践
linux·运维·服务器·ubuntu·gpu算力