Uqeqesha amanethiwekhi engqondo njenge-CNNs, ama-transformers amancane nama-GANs ku-NVIDIA Tesla P40 (24 GB VRAM, Pascal architecture). Amaseva we-GPU angeke akwazi uku-oda; xhumana nathi ukuze uqinisekiswe uma bekhona.
$ pip install torch torchvision && python -c "import torch; print(torch.cuda.is_available())"
# Isibonelo sokufaka umyalo
Ukufunda okunzulu kudinga ukukhawulelwa kwe-GPU ukuqeqesha amanethiwekhi engqondo ngesikhathi esifanele. Umsekeli we-GPU ukunikeza i-GPU eyodwa yezivivinyo zakho.
PyTorch, TensorFlow, JAX noma noma iyiphi i-CUDA framework exhasa i-Pascal GPUs.
I-GPU ayihlukaniswanga, ngakho-ke isivinini sokuqeqesha asixhomekeki kwezinye izisebenzisi.
Indawo ye-architecture ephakathi nendawo kanye ne-batch sizes.
Isisebenzisi esiqhubekayo singasebenza imisebenzi yokuqeqesha ende; gcina amaphuzu okubheka njengoba uhamba.
Deep Learning ingasebenzisa i-NVIDIA GPU ukusheshisa umsebenzi wayo. VPS.org amaseva we-GPU akhona ukucela; xhumana nathi ukulalela uma bekhona. Deep Learning yi-GPU-ekhawulelwe umsebenzi ojwayelekile. Qinisekisa ukuthi isofthiwe yakho inezixhaso ze-CUDA futhi ukuthi umshayeli wakho / ama-runtime versions alingana nezidingo zomsebenzi we-Deep Learning.
Amaseva we-GPU akhona ukucela okwamanje. Namuhla ungasebenzisa i-Deep Learning ku-CPU ejwayelekile, lapho isebenza khona ngokucophelela kunakwi-GPU: SSH ngaphakathi bese usebenzisa i-pip install torch torchvision && python -c "import torch; print(torch.cuda.is_available())".
Izidingo ze-VRAM ze-Deep Learning 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-Deep Learning ngaphakathi kwe-RAM ne-storage yeseva.
Yonke isisebenzisi se VPS.org sifika sigcwele ukungena kwe-root SSH, ngakho ungafaka ama-driver, ama-library ne Deep Learning 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 Deep Learning ezidingayo wena.
Yebo. Amaseva we-VPS.org asebenza ngama-machines aqhubekayo, hhayi izimo ezihambayo: amamodeli we-Deep Learning, izilungiselelo nedatha zihlala ku-SSD yokugcina yeseva kuze kube ucima.
Gcina idatha esebenza kuseva ye-SSD ukuze ufinyelele ngokushesha ngesikhathi se-Deep Learning, 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-Deep Learning 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 Deep Learning. 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.