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
明月醉窗台14 小时前
[jetson] AGX Xavier 安装Ubuntu18.04及jetpack4.5
人工智能·算法·nvidia·cuda·jetson
飞翔的SA18 小时前
全程 Python:无需离开 Python 即可实现光速级 CUDA 加速,无需c++支持
开发语言·c++·python·nvidia·cuda
智星云算力2 天前
本地GPU与租用GPU混合部署:混合算力架构搭建指南
人工智能·架构·gpu算力·智星云·gpu租用
xingyuzhisuan2 天前
Blender渲染加速:4090服务器OptiX后端性能提升50%
运维·服务器·性能优化·gpu算力
初遇见2 天前
【DGX Spark v3.0:基于多智能体交互网络与 Alpaca 实盘集成的企业级量化交易系统】
大数据·网络·spark·nvidia
xingyuzhisuan3 天前
LoRA微调实战:8卡4090服务器如何高效微调LLaMA?
运维·服务器·llama·gpu算力
yumgpkpm3 天前
华为昇腾910B上用Kubernetes(K8s)部署LLM和用Docker部署LLM的区别
docker·chatgpt·容器·stable diffusion·kubernetes·llama·gpu算力
晨欣5 天前
单卡 48GB 实测:Gemma 4 26B A4B、Gemma 4 31B、gpt-oss-20b 三模型部署与并发对比
google·openai·nvidia·vllm·llama.cpp·gpt-oss-20b·gemma4
小驴程序源9 天前
【OpenClaw 完整安装实施教程(Windows + Ollama 本地模型)】
gpt·langchain·aigc·embedding·ai编程·llama·gpu算力