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
来自于狂人18 小时前
深度解析:大模型在多显卡服务器下的通信机制与分布式训练——以DeepSeek、Ollama和vLLM为例
gpu算力
Yongqiang Cheng1 天前
NVIDIA CUDA Compiler Driver NVCC
nvidia·nvcc·cuda compiler
江梦寻3 天前
在 M1 Mac 上解锁 TensorFlow GPU 加速:从环境搭建到实战验证
人工智能·pytorch·python·深度学习·macos·tensorflow·gpu算力
greenery5 天前
debian 12 安装 NVIDIA 390驱动记录
debian·nvidia·飞牛
鱼儿听雨眠7 天前
【Ubuntu】GPU显存被占用,但显示没有使用GPU的进程
linux·服务器·ubuntu·gpu算力
天翼云开发者社区9 天前
越“挖”越有料,天翼云“息壤”助攻DeepSeek变身万能搭子!
人工智能·gpu算力·ai应用·deepseek
天翼云开发者社区10 天前
解锁DeepSeek深度应用,天翼云GPU云主机强势破局!
云计算·gpu算力·ai应用·deepseek
luckyBai_0811 天前
TensorFlow项目GPU运行 安装步骤
gpu算力
AlbertS11 天前
Ubuntu20.04部署stable-diffusion-webui环境小记
python·ai·stable diffusion·nvidia·venv
微学AI1 个月前
GPU算力平台|在GPU算力平台部署可图大模型Kolors的应用实战教程
人工智能·大模型·llm·gpu算力