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
微学AI8 小时前
GPU算力平台|在GPU算力平台部署MedicalGPT医疗大模型的应用教程
大模型·llm·gpu算力
幻想编织者1 天前
Ubuntu实时核编译安装与NVIDIA驱动安装教程(ubuntu 22.04,20.04)
linux·服务器·ubuntu·nvidia
Damon小智2 天前
全面评测 DOCA 开发环境下的 DPU:性能表现、机器学习与金融高频交易下的计算能力分析
人工智能·机器学习·金融·边缘计算·nvidia·dpu·doca
微学AI5 天前
GPU算力平台|在GPU算力平台部署轻量级中文OCR项目(chineseocr_lite)
ocr·gpu算力
高性能服务器5 天前
英伟达 2025 CES:GPU与智算中心协同驱动 GPU算力智能变革
大数据·语言模型·llm·aigc·gpu算力·智算中心·ai算力
微学AI5 天前
GPU算力平台|在GPU算力平台部署虚拟服装试穿工具OOTDiffusion的教程
人工智能·gpu算力·服装试穿
业余敲代码8 天前
NVIDIA 下 基于Ubuntun20.04下 使用脚本安装 ros2-foxy 和 使用docker安装 ros2-foxy
ubuntu·docker·nvidia·ros2·jstson
@菜鸟先飞9 天前
【零基础租赁实惠GPU推荐及大语言模型部署教程01】
python·语言模型·gpu算力
微学AI10 天前
GPU算力平台|在GPU算力平台部署智能媒体生成助手LivePortrait的应用教程
gpu算力·媒体
微学AI12 天前
GPU算力平台|在GPU算力平台部署Linly-Talker 数字人对话应用教程
人工智能·深度学习·gpu算力