Ikhawulezisa ukunyusa ukuphakama, udweliso lwee-matematics kunye noqeqesho lwemodeli nge-GPU kwi-NVIDIA Tesla P40 (24 GB VRAM, uyilo lwe-Pascal). Abancedisi be-GPU abakwazi ukuthengwa; qhagamshelana nathi ukuze uqinisekiswe xa bekhona.
$ pip install cuml-cu12 xgboost cudf-cu12
# Umzekelo wofakelo lomyalelo
Ukufunda kwesixhobo esikhawulezayo se-GPU sebenzisa i-CUDA ukukhawulezisa uqeqesho nobulumko. Iilayibrari ezinjenge-XGBoost ne CuPy zingasebenzisa i-GPU; i-NVIDIA RAPIDS ifuna i-GPUs entsha kune-Pascal P40.
Uqeqesho lwe-gradient olunyusa imodeli kwi-GPU.
Amaqela okhetho ahambelana ne-NumPy asebenza kwi-GPU.
Uqeqesho lweemodeli ze-neural kunye nezo zesiko kwiseva efanayo.
Faka uguqulelo lwe layibrari i pipeline yakho ifuna.
Machine Learning inokusebenzisa i NVIDIA GPU ukukhawulezisa umsebenzi wayo. VPS.org GPU abancedisi abafumanekanga ukucela ngoku; qhagamshelana nathi ukuva xa bekhona. Machine Learning yi GPU- ekhawulezayo yomsebenzi oqhelekileyo. Qinisekisa ukuba udweliso lwenkqubo luxhaswe yi CUDA kwaye ukuba umqhubi wakho / uguqulelo lwexesha lokusebenza luhambelana neemfuno zomsebenzi womsebenzi we Machine Learning.
Abancedisi be-GPU abafumanekanga ukucela ngoku. Namhlanje ungaqhuba i-Machine Learning kwi-CPU eqhelekileyo, apho isebenza khona ngokucothayo kune-GPU: SSH ngaphakathi kwaye uqhube i-pip install cuml-cu12 xgboost cudf-cu12.
Iimfuneko ze-VRAM ze-Machine Learning 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-Machine Learning ngaphakathi kwe-RAM yeseva kunye nokugcina.
Yonke i VPS.org umncedisi ifika nge root SSH unikezelo olupheleleyo, ngoko ungafaka abaqhubi, iincwadi ze Machine Learning 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-Machine Learning olufunayo ngokwakho.
Ewe. Abancedisi be-VPS.org basebenza njengezimatshini ezibonakalayo eziqhubekayo, azikho iziganeko ezikhawulezayo: iimodyuli ze-Machine Learning, iinkqubo zokumiselwa kwenkqubo kunye nedata zihlala kwi-SSD yokugcina yeseva de uzicime.
Gcina i-data esebenza kwi-SSD yomncedisi ukufikelela ngokukhawuleza ngexesha lokusebenza kwe-Machine Learning, 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-Machine Learning 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 Machine Learning 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.