Sebenzisa iJupyter notebooks kwi NVIDIA Tesla P40 (24 GB VRAM, uyilo lwePascal) ubugcisa bedatha ehambelanayo kunye nomsebenzi weML. Abancedisi be-GPU abakwazi ukuthengwa; qhagamshelana nathi ukuze sikwaziswe xa bekhona.
$ pip install jupyterlab torch && jupyter lab --ip=0.0.0.0 --allow-root
# Umzekelo wofakelo lomyalelo
Iibhodi ezinezitshixo zeJupyter kumncedisi we GPU zinika indawo esebenzayo apho izitshixo zeseli zingasebenzisa i GPU. Isetyenziswa kwiimvavanyo kunye nohlobo lwe prototyping.
Sebenzisa i-GPU evela kwi-notebook cells xa i-CUDA ne-framework yakho ifakwe.
JupyterLab with terminal, file browser and extensions.
Ufaka iPyTorch, iTensorFlow, iscikit-learn, ipandas kunye nantoni na enye oyifunayo.
Fumana ii-notebooks zakho kwi-browser; zikhuseleke nge-token, i-password okanye i-SSH tunnel.
Jupyter inokusebenzisa i NVIDIA GPU ukukhawulezisa umsebenzi wayo. VPS.org GPU abancedisi abafumanekanga ukucela ngoku; qhagamshelana nathi ukuva xa bekhona. Jupyter yi GPU- ekhawulezayo yomsebenzi oqhelekileyo. Qinisekisa ukuba udweliso lwenkqubo luxhaswe yi CUDA kwaye ukuba umqhubi wakho / uguqulelo lwexesha lokusebenza luhambelana neemfuno zomsebenzi womsebenzi we Jupyter.
Abancedisi be-GPU abafumanekanga ukucela ngoku. Namhlanje ungaqhuba i-Jupyter kwi-CPU eqhelekileyo, apho isebenza khona ngokucothayo kune-GPU: SSH ngaphakathi kwaye uqhube i-pip install jupyterlab torch && jupyter lab --ip=0.0.0.0 --allow-root.
Iimfuneko ze-VRAM ze-Jupyter zixhomekeke kwimodeli kunye nobungakanani beqela; khangela ushicilelo lweprojekthi yemifanekiso yangoku.
Ixabiso le-GPU liza kupapashwa xa iiseva ze-GPU zingafunyanwa. Xhulumanisa nathi ukuba ufuna ukuva xa oku kwenzeka.
Ewe. Isincedisi ngasinye se-VPS.org sifika sinee-root access ezipheleleyo, ngoko ungaqhuba ezinye izixhobo kunye ne-Jupyter ngaphakathi kwe-RAM yeseva kunye nokugcina.
Yonke i VPS.org umncedisi ifika nge root SSH unikezelo olupheleleyo, ngoko ungafaka abaqhubi, iincwadi ze Jupyter nokuba ufuna njani.
Hayi. Akukho mncedisi ufika nexesha lokuqhuba le-CUDA okanye umqhubi we-NVIDIA ofakwe ngaphambili, kwaye abancedisi be-GPU abafumanekanga ukucela ngoku. Ufaka uguqulelo lwe-Jupyter olufunayo ngokwakho.
Ewe. Abancedisi be-VPS.org basebenza njengezimatshini ezibonakalayo eziqhubekayo, azikho iziganeko ezikhawulezayo: iimodyuli ze-Jupyter, iinkqubo zokumiselwa kwenkqubo kunye nedata zihlala kwi-SSD yokugcina yeseva de uzicime.
Gcina i-data esebenza kwi-SSD yomncedisi ukufikelela ngokukhawuleza ngexesha lokusebenza kwe-Jupyter, kwaye ukope i-artifacts egqityiweyo (isisindo, u Generations, i-embeddings) ukugcinwa ngaphandle kwe-VPS.org; iifoto ezikhawulezayo kunye nokhuseleko luhlala kwiqela elinye lokugcina.
Unganyusa nayiphi na iseva ye-VPS.org ibe yinkqubo enkulu ukusuka kwiqela lenjongo yolawulo; ubungakanani obutsha buqala kwakhona kwaye ukufaka kwe-Jupyter kugqitha. Iiseva ze-GPU azifumanekanga ngoku.
Ewe. Iindawo zokugcina zihlawulwe zidityaniswe (ngosuku +30% yexabiso lenkqubo, igcinwe iintsuku ezi-7; ngeveki +20%, igcinwe iintsuku ezi-28) kwaye iifoto ezikhawulezayo zikhululekile, eziluncedo phambi kwe Jupyter ende iqhuba. Zonke zihlala kwiqela lokugcina elifanayo njengeseva.
Nxibelelana noncedo ngaphakathi kweentsuku ezingama-30 zokuthengiswa kwakho kokuqala ukuze ucele ubuyiselo. Iiseva ze-GPU azithengwanga, ngoko akukho mfuneko yokuthumela i-GPU.
Ubungakanani be-GPU bumiselwe. Sixelele malunga nobunzima bomsebenzi wakho kwaye siza kuphendula ngokufumaneka nokuthengiswa.