Sebenzisa ama-Jupyter notebooks ku-NVIDIA Tesla P40 (24 GB VRAM, Pascal architecture) ucwaningo lwedatha oluxhumanayo kanye ne-ML umsebenzi. Amaseva we-GPU angeke akwazi uku-oda; xhumana nathi ukuze uqinisekiswe uma bekhona.
$ pip install jupyterlab torch && jupyter lab --ip=0.0.0.0 --allow-root
# Isibonelo sokufaka umyalo
I-Jupyter notebooks ku-GPU server ikunikeza indawo exhunywe lapho amaseli we-notebook angasebenzisa khona i-GPU. Esetshenziswa ekucwaningeni kanye nemodeli yokuqala.
Sebenzisa i-GPU kusuka kumaseli we-notebook uma i-CUDA ne-framework yakho ifakwe.
I-JupyterLab enesiphequluli sefayela, isiphequluli sefayela kanye nezici ezibanzi.
Ufaka i-PyTorch, i-TensorFlow, i-scikit-learn, i-pandas kanye nanoma yini edingekayo.
Ngena kumabhukwana akho kusuka ku-browser; gcina nge-token, iphasiwedi noma i-SSH tunnel.
Jupyter ingasebenzisa i-NVIDIA GPU ukusheshisa umsebenzi wayo. VPS.org amaseva we-GPU akhona ukucela; xhumana nathi ukulalela uma bekhona. Jupyter yi-GPU-ekhawulelwe umsebenzi ojwayelekile. Qinisekisa ukuthi isofthiwe yakho inezixhaso ze-CUDA futhi ukuthi umshayeli wakho / ama-runtime versions alingana nezidingo zomsebenzi we-Jupyter.
Amaseva we-GPU akhona ukucela okwamanje. Namuhla ungasebenzisa i-Jupyter ku-CPU ejwayelekile, lapho isebenza khona ngokucophelela kunakwi-GPU: SSH ngaphakathi bese usebenzisa i-pip install jupyterlab torch && jupyter lab --ip=0.0.0.0 --allow-root.
Izidingo ze-VRAM ze-Jupyter zixhomekeke kumodeli kanye nobukhulu beqembu; hlola idatabase yephrojekthi ngezibalo zamanje.
Intengo ye-GPU izoshicilelwa uma izisebenzisi ze-GPU zingasatshalaliswa. Xhumana nathi uma ufuna ukulalela uma lokhu kwenzeke.
Yebo. Yonke iseva ye-VPS.org ifika nge-root access egcwele, ngakho ungasebenzisa ezinye izisetshenziswa kanye ne-Jupyter ngaphakathi kwe-RAM ne-storage yeseva.
Yonke isisebenzisi se VPS.org sifika sigcwele ukungena kwe-root SSH, ngakho ungafaka ama-driver, ama-library ne Jupyter noma ngabe ufuna.
Akukho umsekeli ofika ngesikhathi sokusebenza se-CUDA noma umqhubi we-NVIDIA ofakwe ngaphambili, futhi ama-servers we-GPU atholakalanga ukuthenga okwamanje. Ungafaka izibuyekezo Jupyter ezidingayo wena.
Yebo. Amaseva we-VPS.org asebenza ngama-machines aqhubekayo, hhayi izimo ezihambayo: amamodeli we-Jupyter, izilungiselelo nedatha zihlala ku-SSD yokugcina yeseva kuze kube ucima.
Gcina idatha esebenza kuseva ye-SSD ukuze ufinyelele ngokushesha ngesikhathi se-Jupyter, futhi ukope izitho eziqediwe (izitho, izizukulwane, izingeniso) ukugcinwa ngaphandle kwe-VPS.org; ama-snapshots nama-backup ahlala ku-storage cluster efanayo.
Ungakhuphula noma iyiphi iseva ye-VPS.org ibe yi-plan enkulu kusuka kwindawo yokulawula; ukushintsha ubukhulu kuqala kabusha futhi ukufakwa kwe-Jupyter kudlulisa. Amaseva we-GPU akhona.
Yebo. Amafayela okugcina akhokhelwa angeza-on (ngesonto +30% yentengo yephrojekthi, igcinwe 7 izinsuku; ngeviki +20%, igcinwe 28 izinsuku) futhi ama-snapshots amahhala, okusiza ngaphambi kokuhamba isikhathi eside Jupyter. Kokubili kuhlale ku-indawo yokugcina efanayo njengeseva.
Xhumana nosizo ngaphakathi kwezinsuku ezingama-30 zokuthenga kwakho okukuqala ukuze ucele ukubuyiselwa imali. Amaseva we-GPU athengiswe, ngakho-ke akukho sinqumo se-GPU esihlobene.
Ikhono le-GPU lilinganiselwe. Sitshele ngomsebenzi wakho futhi sizophendula ngokutholakala nokuthengwa.