{"id":5362,"date":"2025-04-09T10:00:34","date_gmt":"2025-04-09T06:30:34","guid":{"rendered":"https:\/\/parmin.cloud\/blog\/?p=5362"},"modified":"2025-04-05T11:06:39","modified_gmt":"2025-04-05T07:36:39","slug":"%d9%86%d8%ad%d9%88%d9%87-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-%d8%a7%d8%a8%d8%b2%d8%a7%d8%b1%d9%87%d8%a7%db%8c-%da%a9%d8%a7%d9%86%d8%aa%db%8c%d9%86%d8%b1%db%8c-nvidia-%d9%88-minicon","status":"publish","type":"post","link":"https:\/\/parmin.cloud\/blog\/%d9%86%d8%ad%d9%88%d9%87-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-%d8%a7%d8%a8%d8%b2%d8%a7%d8%b1%d9%87%d8%a7%db%8c-%da%a9%d8%a7%d9%86%d8%aa%db%8c%d9%86%d8%b1%db%8c-nvidia-%d9%88-minicon\/","title":{"rendered":"\u0646\u062d\u0648\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631\u06cc Nvidia \u0648 Miniconda \u0628\u0627 GPU Droplets"},"content":{"rendered":"
\u0645\u0642\u062f\u0645\u0647<\/span><\/div>\n
\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631\u0647\u0627 \u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634\u200c\u0647\u0627\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 GPU \u0646\u06cc\u0627\u0632\u0645\u0646\u062f \u0646\u0635\u0628 Nvidia Container Toolkit \u0648 \u0627\u062c\u0631\u0627\u06cc Docker \u0628\u0627 \u0641\u0644\u06af\u200c\u0647\u0627\u06cc \u0627\u0636\u0627\u0641\u06cc \u0627\u0633\u062a. \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634 \u0646\u062d\u0648\u0647 \u062a\u0646\u0638\u06cc\u0645 Nvidia Container Toolkit\u060c \u0627\u062c\u0631\u0627\u06cc Docker \u0628\u0631\u0627\u06cc \u0628\u0627\u0631\u0647\u0627\u06cc \u06a9\u0627\u0631\u06cc GPU \u0648 \u0646\u0635\u0628 Miniconda \u062c\u0647\u062a \u0645\u062f\u06cc\u0631\u06cc\u062a \u0645\u062d\u06cc\u0637\u200c\u0647\u0627\u06cc Python \u0631\u0627 \u062a\u0648\u0636\u06cc\u062d \u0645\u06cc\u200c\u062f\u0647\u062f. \u0627\u06cc\u0646 \u0631\u0627\u0647\u0646\u0645\u0627 \u0628\u0647\u200c\u0637\u0648\u0631 \u062e\u0627\u0635 \u0628\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 PyTorch \u0628\u0627 GPU Droplets \u062f\u0631 DigitalOcean \u062a\u0645\u0631\u06a9\u0632 \u062f\u0627\u0631\u062f.<\/span><\/div>\n
<\/div>\n
\u067e\u06cc\u0634\u200c\u0646\u06cc\u0627\u0632\u0647\u0627<\/span><\/div>\n
<\/div>\n
\u0628\u0631\u0627\u06cc \u062f\u0646\u0628\u0627\u0644 \u06a9\u0631\u062f\u0646 \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634\u060c \u0634\u0645\u0627 \u0628\u0647 \u0645\u0648\u0627\u0631\u062f \u0632\u06cc\u0631 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u06cc\u062f:<\/span><\/div>\n
\u2022 \u06cc\u06a9 \u062d\u0633\u0627\u0628 \u06a9\u0627\u0631\u0628\u0631\u06cc \u062f\u0631 DigitalOcean Cloud.<\/span><\/div>\n
\u2022 \u06cc\u06a9 GPU Droplet.<\/span><\/div>\n
<\/div>\n
\u0686\u0631\u0627 \u0627\u0632 GPU Droplet \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645\u061f<\/span><\/div>\n
<\/div>\n
GPU Droplets \u062f\u0631 DigitalOcean \u0645\u062c\u0647\u0632 \u0628\u0647 \u06a9\u0627\u0631\u062a\u200c\u0647\u0627\u06cc NVIDIA H100 \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u062f\u0631 \u0644\u062d\u0638\u0647 \u0622\u0646\u200c\u0647\u0627 \u0631\u0627 \u0631\u0627\u0647\u200c\u0627\u0646\u062f\u0627\u0632\u06cc \u06a9\u0646\u06cc\u062f\u2014\u0647\u0645\u06cc\u0646 \u0627\u0645\u0631\u0648\u0632 \u0628\u0627 \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 GPU Droplet \u0622\u0646 \u0631\u0627 \u0627\u0645\u062a\u062d\u0627\u0646 \u06a9\u0646\u06cc\u062f.<\/span><\/div>\n
<\/div>\n
\u0645\u0631\u062d\u0644\u0647 \u06f1 – \u062a\u0646\u0638\u06cc\u0645 GPU Droplet<\/span><\/div>\n
<\/div>\n
\u06f1. \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 GPU Droplet \u2013 \u0648\u0627\u0631\u062f \u062d\u0633\u0627\u0628 DigitalOcean \u062e\u0648\u062f \u0634\u0648\u06cc\u062f\u060c \u06cc\u06a9 GPU Droplet \u062c\u062f\u06cc\u062f \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f\u060c \u0633\u06cc\u0633\u062a\u0645\u200c\u0639\u0627\u0645\u0644 \u0622\u0646 \u0631\u0627 \u0631\u0648\u06cc<\/span> \u201cAI\/ML<\/span> Ready v1.0\u201d \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\u06cc\u062f \u0648 \u06cc\u06a9 GPU Plan \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u062f.<\/span><\/div>\n
\n
<\/figcaption><\/figure>\n<\/div>\n
\u0645\u0631\u062d\u0644\u0647 \u06f1 – \u0648\u0631\u0648\u062f \u0628\u0647 GPU Droplet \u0648 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0627\u0631\u0628\u0631 \u062c\u062f\u06cc\u062f<\/span><\/div>\n
<\/div>\n
\u06f1. \u067e\u0633 \u0627\u0632 \u0627\u06cc\u062c\u0627\u062f GPU Droplet\u060c \u0648\u0627\u0631\u062f \u06a9\u0646\u0633\u0648\u0644 \u0622\u0646 \u0634\u0648\u06cc\u062f.<\/span><\/div>\n
\u06f2. \u0627\u06cc\u062c\u0627\u062f \u06a9\u0627\u0631\u0628\u0631 \u062c\u062f\u06cc\u062f<\/span> (\u062a\u0648\u0635\u06cc\u0647\u200c\u0634\u062f\u0647)<\/span> \u2013 \u0628\u0647\u200c\u062c\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u0627\u0631\u0628\u0631 root \u0628\u0631\u0627\u06cc \u0647\u0645\u0647 \u06a9\u0627\u0631\u0647\u0627\u060c \u0628\u0647\u062a\u0631 \u0627\u0633\u062a \u0628\u0631\u0627\u06cc \u0627\u0645\u0646\u06cc\u062a \u0628\u06cc\u0634\u062a\u0631 \u06cc\u06a9 \u06a9\u0627\u0631\u0628\u0631 \u062c\u062f\u06cc\u062f \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f:<\/span><\/div>\n
adduser do-shark \u00a0<\/span><\/div>\n
usermod<\/span> -aG<\/span> sudo do-shark \u00a0<\/span><\/div>\n
su do-shark \u00a0<\/span><\/div>\n
cd ~\/<\/span><\/div>\n
<\/div>\n
\u0645\u0631\u062d\u0644\u0647 \u06f2 – \u0646\u0635\u0628 Nvidia Container Toolkit<\/span><\/div>\n
<\/div>\n
\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631\u0647\u0627 \u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634\u200c\u0647\u0627\u06cc GPU \u0646\u06cc\u0627\u0632\u0645\u0646\u062f \u0646\u0635\u0628 Nvidia Container Toolkit \u0648 \u0627\u062c\u0631\u0627\u06cc Docker \u0628\u0627 \u0641\u0644\u06af\u200c\u0647\u0627\u06cc \u0627\u0636\u0627\u0641\u06cc \u0627\u0633\u062a.<\/span><\/div>\n
<\/div>\n
\u0646\u0635\u0628 Toolkit \u0648 Docker<\/span><\/div>\n
<\/div>\n
Nvidia Container Toolkit \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646 \u0646\u0633\u062e\u0647\u200c\u06cc \u0642\u062f\u06cc\u0645\u06cc\u200c\u062a\u0631 nvidia-docker \u0634\u062f\u0647 \u0627\u0633\u062a. \u0628\u0631\u0627\u06cc \u0646\u0635\u0628 Toolkit \u0648 Docker\u060c \u0627\u0632 \u062f\u0633\u062a\u0648\u0631 \u0632\u06cc\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f:<\/span><\/div>\n
sudo apt-get install docker.io nvidia-container-toolkit<\/span><\/div>\n
\u0641\u0639\u0627\u0644\u200c\u0633\u0627\u0632\u06cc Nvidia Container Runtime<\/span><\/div>\n
<\/div>\n
\u0628\u0631\u0627\u06cc \u0641\u0639\u0627\u0644\u200c\u0633\u0627\u0632\u06cc Nvidia Container Runtime\u060c \u0627\u06cc\u0646 \u062f\u0633\u062a\u0648\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/span><\/div>\n
sudo nvidia-ctk runtime configure<\/span> –runtime=docker<\/span><\/div>\n
\u0631\u06cc\u200c\u0627\u0633\u062a\u0627\u0631\u062a \u06a9\u0631\u062f\u0646 Docker<\/span><\/div>\n
<\/div>\n
\u0628\u0639\u062f \u0627\u0632 \u0641\u0639\u0627\u0644\u200c\u0633\u0627\u0632\u06cc runtime\u060c \u0628\u0627\u06cc\u062f Docker \u0631\u0627 \u0631\u06cc\u200c\u0627\u0633\u062a\u0627\u0631\u062a \u06a9\u0646\u06cc\u062f \u062a\u0627 \u062a\u063a\u06cc\u06cc\u0631\u0627\u062a \u0627\u0639\u0645\u0627\u0644 \u0634\u0648\u062f:<\/span><\/div>\n
sudo systemctl restart docker<\/span><\/div>\n
<\/div>\n
\u0645\u0631\u062d\u0644\u0647 \u06f3 – \u0627\u062c\u0631\u0627\u06cc \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631 PyTorch<\/span> (\u062a\u06a9<\/span> \u0646\u0648\u062f)<\/span><\/div>\n
<\/div>\n
\u0647\u0646\u06af\u0627\u0645 \u0627\u062c\u0631\u0627\u06cc PyTorch \u062f\u0631 \u06cc\u06a9 \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631\u060c Nvidia \u062a\u0648\u0635\u06cc\u0647 \u0645\u06cc\u200c\u06a9\u0646\u062f \u06a9\u0647 \u0627\u0632 \u0628\u0631\u062e\u06cc \u0641\u0644\u06af\u200c\u0647\u0627\u06cc Docker \u0628\u0631\u0627\u06cc \u062a\u062e\u0635\u06cc\u0635 \u0645\u0646\u0627\u0633\u0628 \u062d\u0627\u0641\u0638\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f:<\/span><\/div>\n
–gpus all<\/span> –ipc=host<\/span> –ulimit<\/span> memlock=-1<\/span> –ulimit<\/span> stack=67108864<\/span><\/div>\n
\u0627\u06cc\u0646 \u0641\u0644\u06af\u200c\u0647\u0627 \u0686\u0647 \u06a9\u0627\u0631\u06cc \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc\u200c\u062f\u0647\u0646\u062f\u061f<\/span><\/div>\n
\u2022<\/span> –gpus<\/span> all \u2192 \u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0647 GPU \u0631\u0627 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631 \u0641\u0639\u0627\u0644 \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/span><\/div>\n
\u2022<\/span> –ipc=host<\/span> \u2192 \u0627\u062c\u0627\u0632\u0647 \u0645\u06cc\u200c\u062f\u0647\u062f \u06a9\u0647 \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631 \u0627\u0632 IPC namespace \u0645\u06cc\u0632\u0628\u0627\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u062f.<\/span><\/div>\n
\u2022<\/span> –ulimit<\/span> memlock=-1 \u2192 \u0645\u062d\u062f\u0648\u062f\u06cc\u062a memory lock \u0631\u0627 \u062d\u0630\u0641 \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/span><\/div>\n
\u2022<\/span> –ulimit<\/span> stack=67108864 \u2192 \u062d\u062f\u0627\u06a9\u062b\u0631 \u0627\u0646\u062f\u0627\u0632\u0647 stack \u0631\u0627 \u0631\u0648\u06cc \u06f6\u06f4MB \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/span><\/div>\n
<\/div>\n
\u062a\u0633\u062a PyTorch \u062f\u0631 \u0645\u062d\u06cc\u0637 \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631\u06cc<\/span><\/div>\n
<\/div>\n
\u0628\u0631\u0627\u06cc \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 PyTorch \u0628\u0647\u200c\u062f\u0631\u0633\u062a\u06cc \u062f\u0631 \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631 \u0627\u062c\u0631\u0627 \u0645\u06cc\u200c\u0634\u0648\u062f\u060c \u062f\u0633\u062a\u0648\u0631 \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/span><\/div>\n
sudo docker run<\/span> –rm<\/span> -it<\/span> –gpus<\/span> all<\/span> –ipc=host<\/span> –ulimit<\/span> memlock=-1<\/span> –ulimit<\/span> stack=67108864 nvcr.io\/nvidia\/pytorch:24.08-py3 python3<\/span> -c<\/span> “import<\/span> torch;print(‘CUDA available:’, torch.cuda.is_available())”<\/span><\/div>\n
\u062e\u0631\u0648\u062c\u06cc \u0645\u0648\u0631\u062f \u0627\u0646\u062a\u0638\u0627\u0631:<\/span><\/div>\n
<\/div>\n
\u0627\u06af\u0631 \u0647\u0645\u0647 \u0686\u06cc\u0632 \u0628\u0647\u200c\u062f\u0631\u0633\u062a\u06cc \u06a9\u0627\u0631 \u06a9\u0646\u062f\u060c \u062e\u0631\u0648\u062c\u06cc \u0632\u06cc\u0631 \u0631\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f \u06a9\u0647 \u062a\u0623\u06cc\u06cc\u062f \u0645\u06cc\u200c\u06a9\u0646\u062f CUDA \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0627\u0633\u062a:<\/span><\/div>\n
============= \u00a0<\/span><\/div>\n
== PyTorch == \u00a0<\/span><\/div>\n
============= \u00a0<\/span><\/div>\n
NVIDIA Release 24.08<\/span> (build<\/span> 107063150) \u00a0<\/span><\/div>\n
PyTorch Version 2.5.0a0+872d972 \u00a0<\/span><\/div>\n
… \u00a0<\/span><\/div>\n
CUDA available: True \u00a0<\/span><\/div>\n
\u0627\u06cc\u0646 \u0646\u062a\u06cc\u062c\u0647 \u0646\u0634\u0627\u0646 \u0645\u06cc\u200c\u062f\u0647\u062f \u06a9\u0647 PyTorch \u0628\u0627 CUDA \u062f\u0631 \u0645\u062d\u06cc\u0637 \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631\u06cc \u0628\u0647\u200c\u062f\u0631\u0633\u062a\u06cc \u0627\u062c\u0631\u0627 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/span><\/div>\n
\u0645\u0631\u062d\u0644\u0647 \u06f4 – \u0627\u062c\u0631\u0627\u06cc \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631 PyTorch<\/span> (\u0686\u0646\u062f<\/span> \u0646\u0648\u062f\u06cc)<\/span><\/div>\n
<\/div>\n
\u0628\u0631\u0627\u06cc \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc \u0686\u0646\u062f \u0646\u0648\u062f\u06cc\u060c \u0627\u0632 \u0647\u0645\u0627\u0646 \u0622\u0631\u06af\u0648\u0645\u0627\u0646\u200c\u0647\u0627\u06cc \u067e\u0627\u06cc\u0647\u200c\u06cc \u062a\u0646\u0638\u06cc\u0645\u0627\u062a \u062a\u06a9\u200c\u0646\u0648\u062f\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f\u060c \u0627\u0645\u0627 bind mount\u200c\u0647\u0627\u06cc \u0627\u0636\u0627\u0641\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u06a9\u0634\u0641 \u062f\u0633\u062a\u06af\u0627\u0647\u200c\u0647\u0627\u06cc \u0634\u0628\u06a9\u0647\u200c\u06cc GPU Fabric \u0648 \u062a\u0648\u067e\u0648\u0644\u0648\u0698\u06cc NCCL \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u062f:<\/span><\/div>\n
–gpus all<\/span> –ipc=host<\/span> –ulimit<\/span> memlock=-1<\/span> –ulimit<\/span> stack=67108864<\/span> –network=host<\/span> –volume<\/span> \/dev\/infiniband:\/dev\/infiniband<\/span> –volume<\/span> \/sys\/class\/infiniband\/:\/sys\/class\/infiniband\/<\/span> –device<\/span> \/dev\/infiniband\/:\/dev\/infiniband\/<\/span> -v<\/span> \/etc\/nccl.conf:\/etc\/nccl.conf<\/span> -v<\/span> \/etc\/nccl:\/etc\/nccl<\/span><\/div>\n
\u062a\u0648\u0636\u06cc\u062d \u0641\u0644\u06af\u200c\u0647\u0627:<\/span><\/div>\n
\u2022<\/span> –gpus<\/span> all \u2192 \u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0647 \u062a\u0645\u0627\u0645 GPU\u200c\u0647\u0627\u06cc \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631 \u0631\u0627 \u0641\u0639\u0627\u0644 \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/span><\/div>\n
\u2022<\/span> –ipc=host<\/span> \u2192 \u0627\u0632 IPC namespace \u0645\u06cc\u0632\u0628\u0627\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u06a9\u0646\u062f \u06a9\u0647 \u0628\u0627\u0639\u062b \u0628\u0647\u0628\u0648\u062f \u0627\u0631\u062a\u0628\u0627\u0637 \u0628\u06cc\u0646 \u067e\u0631\u062f\u0627\u0632\u0634\u200c\u0647\u0627 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/span><\/div>\n
\u2022<\/span> –ulimit<\/span> memlock=-1 \u2192 \u0645\u062d\u062f\u0648\u062f\u06cc\u062a memory lock \u0631\u0627 \u062d\u0630\u0641 \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/span><\/div>\n
\u2022<\/span> –ulimit<\/span> stack=67108864 \u2192 \u062d\u062f\u0627\u06a9\u062b\u0631 \u0627\u0646\u062f\u0627\u0632\u0647 stack \u0631\u0627 \u0631\u0648\u06cc \u06f6\u06f4MB \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/span><\/div>\n
\u2022<\/span> –network=host<\/span> \u2192 \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631 \u0631\u0627 \u062f\u0631\u0648\u0646 stack \u0634\u0628\u06a9\u0647\u200c\u06cc \u0645\u06cc\u0632\u0628\u0627\u0646 \u0627\u062c\u0631\u0627 \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/span><\/div>\n
\u2022<\/span> –volume<\/span> \/dev\/infiniband:\/dev\/infiniband \u2192 \u062f\u0633\u062a\u06af\u0627\u0647\u200c\u0647\u0627\u06cc InfiniBand \u0631\u0627 \u062f\u0631\u0648\u0646 \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631 mount \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/span><\/div>\n
\u2022<\/span> –volume<\/span> \/sys\/class\/infiniband\/:\/sys\/class\/infiniband\/ \u2192 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0633\u06cc\u0633\u062a\u0645\u06cc InfiniBand \u0631\u0627 \u062f\u0631\u0648\u0646 \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631 mount \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/span><\/div>\n
\u2022<\/span> –device<\/span> \/dev\/infiniband\/:\/dev\/infiniband\/ \u2192 \u0628\u0647 \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631 \u0627\u062c\u0627\u0632\u0647 \u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0647 \u062f\u0633\u062a\u06af\u0627\u0647\u200c\u0647\u0627\u06cc InfiniBand \u0631\u0627 \u0645\u06cc\u200c\u062f\u0647\u062f.<\/span><\/div>\n
\u2022<\/span> -v<\/span> \/etc\/nccl.conf:\/etc\/nccl.conf \u2192 \u0641\u0627\u06cc\u0644 \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc NCCL<\/span> (\u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647<\/span> \u0627\u0631\u062a\u0628\u0627\u0637\u0627\u062a \u062c\u0645\u0639\u06cc \u0627\u0646\u0648\u06cc\u062f\u06cc\u0627) \u0631\u0627 mount \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/span><\/div>\n
\u2022<\/span> -v<\/span> \/etc\/nccl:\/etc\/nccl \u2192 \u062f\u0627\u06cc\u0631\u06a9\u062a\u0648\u0631\u06cc NCCL \u0631\u0627 \u0628\u0631\u0627\u06cc \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc\u200c\u0647\u0627\u06cc \u0627\u0636\u0627\u0641\u06cc mount \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/span><\/div>\n
<\/div>\n
\u062a\u0633\u062a PyTorch \u062f\u0631 \u0645\u062d\u06cc\u0637 \u0686\u0646\u062f \u0646\u0648\u062f\u06cc<\/span><\/div>\n
<\/div>\n
\u0628\u0631\u0627\u06cc \u0628\u0631\u0631\u0633\u06cc \u0635\u062d\u062a \u0639\u0645\u0644\u06a9\u0631\u062f PyTorch \u062f\u0631 \u0645\u062d\u06cc\u0637 \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631\u06cc \u0686\u0646\u062f \u0646\u0648\u062f\u06cc\u060c \u062f\u0633\u062a\u0648\u0631 \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/span><\/div>\n
sudo docker run<\/span> –rm<\/span> -it<\/span> –gpus<\/span> all<\/span> –ipc=host<\/span> –ulimit<\/span> memlock=-1<\/span> –ulimit<\/span> stack=67108864<\/span> –network=host<\/span> –volume<\/span> \/dev\/infiniband:\/dev\/infiniband<\/span> –volume<\/span> \/sys\/class\/infiniband\/:\/sys\/class\/infiniband\/<\/span> –device<\/span> \/dev\/infiniband\/:\/dev\/infiniband\/<\/span> -v<\/span> \/etc\/nccl.conf:\/etc\/nccl.conf<\/span> -v<\/span> \/etc\/nccl:\/etc\/nccl nvcr.io\/nvidia\/pytorch:24.08-py3 python3<\/span> -c<\/span> “import<\/span> torch;print(‘CUDA available:’, torch.cuda.is_available())”<\/span><\/div>\n
\u062e\u0631\u0648\u062c\u06cc \u0645\u0648\u0631\u062f \u0627\u0646\u062a\u0638\u0627\u0631:<\/span><\/div>\n
<\/div>\n
\u0627\u06af\u0631 \u0647\u0645\u0647 \u0686\u06cc\u0632 \u062f\u0631\u0633\u062a \u0628\u0627\u0634\u062f\u060c \u062e\u0631\u0648\u062c\u06cc \u0628\u0627\u06cc\u062f \u062a\u0623\u06cc\u06cc\u062f \u06a9\u0646\u062f \u06a9\u0647 CUDA \u062f\u0631 \u0645\u062d\u06cc\u0637 \u0686\u0646\u062f \u0646\u0648\u062f\u06cc \u0641\u0639\u0627\u0644 \u0627\u0633\u062a:<\/span><\/div>\n
============= \u00a0<\/span><\/div>\n
== PyTorch == \u00a0<\/span><\/div>\n
============= \u00a0<\/span><\/div>\n
NVIDIA Release 24.08<\/span> (build<\/span> 107063150) \u00a0<\/span><\/div>\n
PyTorch Version 2.5.0a0+872d972 \u00a0<\/span><\/div>\n
… \u00a0<\/span><\/div>\n
CUDA available: True \u00a0<\/span><\/div>\n
<\/div>\n
<\/div>\n
\u0645\u0631\u062d\u0644\u0647 \u06f5 – \u0646\u0635\u0628 Miniconda<\/span><\/div>\n
<\/div>\n
Miniconda \u0646\u0633\u062e\u0647\u200c\u0627\u06cc \u0633\u0628\u06a9 \u0627\u0632 Anaconda \u0627\u0633\u062a \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0645\u062f\u06cc\u0631\u06cc\u062a \u0645\u062d\u06cc\u0637\u200c\u0647\u0627\u06cc Python \u0628\u0647\u06cc\u0646\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a. \u0628\u0631\u0627\u06cc \u0646\u0635\u0628 Miniconda\u060c \u0645\u0631\u0627\u062d\u0644 \u0632\u06cc\u0631 \u0631\u0627 \u062f\u0646\u0628\u0627\u0644 \u06a9\u0646\u06cc\u062f:<\/span><\/div>\n
<\/div>\n
\u062f\u0627\u0646\u0644\u0648\u062f \u0648 \u0646\u0635\u0628 Miniconda<\/span><\/div>\n
<\/div>\n
\u0628\u0627 \u0627\u062c\u0631\u0627\u06cc \u062f\u0633\u062a\u0648\u0631\u0627\u062a \u0632\u06cc\u0631\u060c Miniconda \u0631\u0627 \u062f\u0627\u0646\u0644\u0648\u062f \u0648 \u0646\u0635\u0628 \u06a9\u0646\u06cc\u062f:<\/span><\/div>\n
mkdir<\/span> -p<\/span> ~\/miniconda3 \u00a0<\/span><\/div>\n
wget <\/span>https:\/\/repo.anaconda.com\/miniconda\/Miniconda3-latest-Linux-x86_64.sh<\/a><\/span> -O<\/span> ~\/miniconda3\/miniconda.sh \u00a0<\/span><\/div>\n
bash ~\/miniconda3\/miniconda.sh<\/span> -b<\/span> -u<\/span> -p<\/span> ~\/miniconda3 \u00a0<\/span><\/div>\n
rm<\/span> -rf<\/span> ~\/miniconda3\/miniconda.sh \u00a0<\/span><\/div>\n
\u0631\u0627\u0647\u200c\u0627\u0646\u062f\u0627\u0632\u06cc \u0627\u0648\u0644\u06cc\u0647\u200c\u06cc Miniconda<\/span><\/div>\n
~\/miniconda3\/bin\/conda init bash \u00a0<\/span><\/div>\n
\u0627\u0639\u0645\u0627\u0644 \u062a\u063a\u06cc\u06cc\u0631\u0627\u062a \u0648 \u0648\u0631\u0648\u062f \u0645\u062c\u062f\u062f \u0628\u0647 \u0633\u06cc\u0633\u062a\u0645<\/span><\/div>\n
exit \u00a0<\/span><\/div>\n
\u0633\u067e\u0633\u060c \u0645\u062c\u062f\u062f\u0627\u064b \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06a9\u0627\u0631\u0628\u0631 do-shark \u0648\u0627\u0631\u062f \u0634\u0648\u06cc\u062f:<\/span><\/div>\n
su do-shark \u00a0<\/span><\/div>\n
\u062a\u0623\u06cc\u06cc\u062f \u0646\u0633\u062e\u0647\u200c\u06cc conda<\/span><\/div>\n
conda<\/span> –version<\/span> \u00a0<\/span><\/div>\n
\u062e\u0631\u0648\u062c\u06cc \u0645\u0648\u0631\u062f \u0627\u0646\u062a\u0638\u0627\u0631:<\/span><\/div>\n
conda 24.7.1 \u00a0<\/span><\/div>\n
\u0627\u06cc\u0646 \u062e\u0631\u0648\u062c\u06cc \u0646\u0634\u0627\u0646 \u0645\u06cc\u200c\u062f\u0647\u062f \u06a9\u0647 Miniconda \u0628\u0647\u200c\u062f\u0631\u0633\u062a\u06cc \u0646\u0635\u0628 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/span><\/div>\n
\u0645\u0631\u062d\u0644\u0647 \u06f6 – \u0631\u0627\u0647\u200c\u0627\u0646\u062f\u0627\u0632\u06cc \u0645\u062d\u06cc\u0637 PyTorch \u0628\u0627 Miniconda<\/span><\/div>\n
<\/div>\n
\u0628\u0627 \u0646\u0635\u0628 Miniconda\u060c \u062d\u0627\u0644\u0627 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u06cc\u06a9 \u0645\u062d\u06cc\u0637 Python \u0645\u062e\u0635\u0648\u0635 PyTorch \u0631\u0627\u0647\u200c\u0627\u0646\u062f\u0627\u0632\u06cc \u06a9\u0646\u06cc\u0645.<\/span><\/div>\n
<\/div>\n
\u06f1. \u0627\u06cc\u062c\u0627\u062f \u0648 \u0641\u0639\u0627\u0644\u200c\u0633\u0627\u0632\u06cc \u0645\u062d\u06cc\u0637 \u062c\u062f\u06cc\u062f<\/span><\/div>\n
<\/div>\n
\u0627\u0628\u062a\u062f\u0627 \u06cc\u06a9 \u0645\u062d\u06cc\u0637 \u0645\u062c\u0632\u0627 \u0628\u0631\u0627\u06cc PyTorch \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f \u0648 \u0622\u0646 \u0631\u0627 \u0641\u0639\u0627\u0644 \u06a9\u0646\u06cc\u062f:<\/span><\/div>\n
conda create<\/span> -n<\/span> torch python=3.10 \u00a0<\/span><\/div>\n
conda activate torch \u00a0<\/span><\/div>\n
\u06f2. \u0646\u0635\u0628 PyTorch \u0628\u0627 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0627\u0632 CUDA<\/span><\/div>\n
<\/div>\n
\u0628\u0631\u0627\u06cc \u0646\u0635\u0628 PyTorch \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0627\u0632 CUDA\u060c \u062f\u0633\u062a\u0648\u0631 \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/span><\/div>\n
conda install pytorch torchvision torchaudio pytorch-cuda=12.1<\/span> -c<\/span> pytorch<\/span> -c<\/span> nvidia \u00a0<\/span><\/div>\n
<\/div>\n
\u0646\u062a\u06cc\u062c\u0647\u200c\u06af\u06cc\u0631\u06cc<\/span><\/div>\n
<\/div>\n
\u0634\u0645\u0627 \u0628\u0627 \u0645\u0648\u0641\u0642\u06cc\u062a Nvidia Container Toolkit \u0648 Miniconda \u0631\u0627 \u0631\u0648\u06cc GPU Droplet \u062f\u0631 DigitalOcean \u0646\u0635\u0628 \u06a9\u0631\u062f\u06cc\u062f. \u0627\u06a9\u0646\u0648\u0646 \u0622\u0645\u0627\u062f\u0647 \u0647\u0633\u062a\u06cc\u062f \u06a9\u0647 PyTorch \u0631\u0627 \u062f\u0631 \u0645\u062d\u06cc\u0637\u06cc \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631\u06cc \u0634\u062f\u0647 \u0628\u0627 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0627\u0632 GPU \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f.<\/span><\/div>\n
<\/div>\n
\u0628\u0631\u0627\u06cc \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0628\u06cc\u0634\u062a\u0631\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u0645\u0633\u062a\u0646\u062f\u0627\u062a \u0631\u0633\u0645\u06cc Nvidia Deep Learning Containers \u0648 PyTorch \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u062f.<\/span><\/div>\n
<\/div>","protected":false},"excerpt":{"rendered":"

\u0645\u0642\u062f\u0645\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631\u0647\u0627 \u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634\u200c\u0647\u0627\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 GPU \u0646\u06cc\u0627\u0632\u0645\u0646\u062f \u0646\u0635\u0628 Nvidia Container Toolkit \u0648 \u0627\u062c\u0631\u0627\u06cc Docker \u0628\u0627 \u0641\u0644\u06af\u200c\u0647\u0627\u06cc \u0627\u0636\u0627\u0641\u06cc \u0627\u0633\u062a. \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634 \u0646\u062d\u0648\u0647 \u062a\u0646\u0638\u06cc\u0645 Nvidia Container Toolkit\u060c \u0627\u062c\u0631\u0627\u06cc Docker \u0628\u0631\u0627\u06cc \u0628\u0627\u0631\u0647\u0627\u06cc \u06a9\u0627\u0631\u06cc GPU \u0648 \u0646\u0635\u0628 Miniconda \u062c\u0647\u062a \u0645\u062f\u06cc\u0631\u06cc\u062a \u0645\u062d\u06cc\u0637\u200c\u0647\u0627\u06cc Python \u0631\u0627 \u062a\u0648\u0636\u06cc\u062d \u0645\u06cc\u200c\u062f\u0647\u062f. \u0627\u06cc\u0646 \u0631\u0627\u0647\u0646\u0645\u0627 \u0628\u0647\u200c\u0637\u0648\u0631 \u062e\u0627\u0635 \u0628\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 PyTorch \u0628\u0627 GPU Droplets […]<\/p>\n","protected":false},"author":1,"featured_media":5363,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"yasr_overall_rating":0,"yasr_post_is_review":"","yasr_auto_insert_disabled":"","yasr_review_type":"","footnotes":""},"categories":[150,278],"tags":[404,405,406,403,353],"class_list":["post-5362","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-linux","category-278","tag-gpu-droplets","tag-miniconda","tag-nvidia","tag-403","tag-353"],"aioseo_notices":[],"yasr_visitor_votes":{"stars_attributes":{"read_only":false,"span_bottom":false},"number_of_votes":0,"sum_votes":0},"_links":{"self":[{"href":"https:\/\/parmin.cloud\/blog\/wp-json\/wp\/v2\/posts\/5362","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/parmin.cloud\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/parmin.cloud\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/parmin.cloud\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/parmin.cloud\/blog\/wp-json\/wp\/v2\/comments?post=5362"}],"version-history":[{"count":1,"href":"https:\/\/parmin.cloud\/blog\/wp-json\/wp\/v2\/posts\/5362\/revisions"}],"predecessor-version":[{"id":5364,"href":"https:\/\/parmin.cloud\/blog\/wp-json\/wp\/v2\/posts\/5362\/revisions\/5364"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/parmin.cloud\/blog\/wp-json\/wp\/v2\/media\/5363"}],"wp:attachment":[{"href":"https:\/\/parmin.cloud\/blog\/wp-json\/wp\/v2\/media?parent=5362"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/parmin.cloud\/blog\/wp-json\/wp\/v2\/categories?post=5362"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/parmin.cloud\/blog\/wp-json\/wp\/v2\/tags?post=5362"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}