I-NVIDIA GPUs ekhethekileyo ene-bare-metal passthrough. Iimodeli zoqeqesho, qhuba ukuqonda, yenza ividiyo, kwaye ukhawuleze i-computer yesayensi kwisicelo.
+-------------------------+
| NVIDIA-SMI 550.54.15 |
| Driver: 550.54.15 |
| CUDA Version: 12.4 |
+-------------------------+
| GPU Name | Mem |
| 0 Tesla P40 | 24GB |
+-------------------------+
| GPU Util: 0% |
| Memory: 0MiB / 24576MiB|
+-------------------------+
$ python train.py --model llama
Loading model... _
I-NVIDIA GPUs ekhethekileyo ene-PCIe epheleleyo edlulayo ukubonelela ngemisebenzi eninzi
Siqhuba ngokuqhubekayo ukuphuhlisa iqela lethu le-GPU. Iimodeli ze-NVIDIA GPU ezingaphezulu ezine-VRAM ephezulu kunye nezixhobo ezintsha zoyilo ziyafumaneka ngokukhawuleza.
Ifuna i-GPUs ezikumgangatho weshishini (A100, H100) okanye i-multi-GPUs? Dibana nathi uxoxe ngeemfuneko zakho.
Ukusuka ekuqeqesheni iinxulumano ze-neural ukuya kukubonisa imiboniso ye-3D, i-GPU VPS iphatha konke
Uqeqesho lokufunda ngokunzulu nge PyTorch, TensorFlow, okanye JAX. Ulungelelaniso oluhle lweemodeli ezinkulu zesiNgesi ezinje nge LLaMA, Mistral, kunye noKhuselo oluQinisekisiweyo kwihardware ye-GPU ekhethekileyo.
Qala →Sebenzisa iimodeli ze-AI kwimveliso nge-GPU ephantsi-ye-latency. Sebenzisa i-LLMs, ukudala umfanekiso, ukuphawula kokuthetha, kunye ne-computer vision APIs kwinqanaba.
Qala →Ikhawulezisa ukuguqula ikhowudi yevidiyo nge NVENC, yenza imiboniso ye-3D nge-Blender okanye i-Maya, kwaye uqhubekeke ne-high-resolution media pipelines nge-GPU-ekhawulezayo encoding.
Qala →Sebenzisa i-molecular dynamics, imiboniso yemozulu, i-computational fluid dynamics, nezinye i-HPC workloads ezikhawuleziwe yi-CUDA-enabled GPUs.
Qala →Ikhawulezisa i-data pipelines nge-RAPIDS, cuDF, kunye ne-cuML. Inkqubo yedatha enkulu, qhuba i-GPU-ekhawulezayo, uvavanyo, kwaye ukwakha ukuhamba kwemisebenzi yokusebenza kwexesha elibonakalayo.
Qala →Yakha kwaye uphinde usebenzise iinkqubo ze-AI ngee-notebooks ze-Jupyter, i-VS Code ebekwe kude, kunye nemeko-bume yophuhliso lwe-CUDA epheleleyo. Yenza i-prototype ngokukhawuleza ngee-GPU ezinikezelweyo.
Qala →I-PCIe ethe ngqo edlulayo ithetha ukuba akukho xabiso liphezulu lokubonakalayo. Ikhowudi yakho ithetha ngokuthe ngqo kwihardware ye-GPU.
Akukho mfuneko yokuzikhusela okanye ukubiza abathengi. Khetha i-GPU yakho, khetha i-OS, kwaye uyifake kwimizuzu.
Uhlawula ngenyanga ngaphandle kweekhontrakthi zokutshixa. Ukhuphe xa ufuna i-GPUs, ukhuphe xa awufuni.
Faka nayiphi na inkqubo yokusebenza, uguqulelo lomqhubi, okanye i CUDA toolkit. Umncedisi wakho, imithetho yakho. Ufikelelo lwe SSH ukusukela kumhla wokuqala.
Iingcebiso ezimiselwe ngaphambili ze-AI/ML ezithandwayo, izixhobo zobugcisa, kunye neenkqubo ezikhawulezayo ze-GPU
Zonke izinto ofuna ukuziqonda malunga neGPU VPS hosting
I-GPU VPS yiseva yobuqu eyenziwe ngehardware ye-NVIDIA GPU ekhethekileyo. Ibonelela ngokulinganayo njenge-VPS eqhelekileyo kodwa inemisebenzi enamandla yokuqhubekeka ngokuthe tye ye-AI / ML yoqeqesho, ukuqonda, ukuvelisa, kunye nokusebenza kwekhompyutha yesayensi.
Ngoku sibonelela ngee-NVIDIA Tesla P40 GPUs ezine-24GB ye-VRAM nganye. Ezi GPUs zibalasele kwi-AI / ML inference, imodeli ye-fine-tuning, ukuguqulwa kwevidiyo, kunye nekhompyutha yesayensi. Iimodeli ze-GPU ezingaphezulu ziya kudityaniswa njengoko siqhubela phambili uphuhliso lwethu lwenkqubo.
I-GPU passthrough inika i-VPS yakho ukufikelela ngokuthe ngqo, i-bare-metal kwihardware ye-GPU. Ngokungafaniyo ne-GPUs ezinikezelweyo okanye ezibonakalayo, ufumana ukusebenza okupheleleyo kwe-GPU ngaphandle kwe-overhead. Iinkqubo zakho zithetha-thethana ne-GPU ngokuchanekileyo njengoko ziza kukwenza kwi-machine ekhethekileyo.
Iinkqubo ze-GPU VPS zivela kwi-Ubuntu kunye nokhetho lokufaka i-NVIDIA drivers kunye ne-CUDA toolkit. Ungafaka uguqulelo lwe-driver ofuna ukuyifaka ngesandla. Sinikezela ngoxwebhu lokumisela iinkqubo ezithandwayo ze-ML ezinje nge-PyTorch ne-TensorFlow.
Ewe, ungadibanisa ii-GPU ezininzi kwi-VPS enye yokusebenza okunenzuzo kwi-multi-GPU yoqeqesho okanye uqhubekeko oluthe tye. Dibana neqela lethu lentengiso kwi-multi-GPU yocwangciso kunye nokuthengiswa.
I-GPU VPS ilungele uqeqesho lwemodeli ye-AI/ML kunye nokuqikelela, uyilo olukhulu lwemodeli ye-language fine-tuning, umbono wekhompyutha, ukuguqula ikhowudi yevidiyo kunye nokuyibonisa, ulinganiso lwesayensi, kunye nobunzima bomsebenzi obunoncedo olukhulu kwi-power processing efana ne-massive.
I-GPU VPS ihlawulwe ngenyanga, njengeenkqubo zethu eziqhelekileyo ze-VPS. Uhlawula kuphela ixesha leseva yakho. Xelela ngexabiso elikhoyo njengoko sigqiba iindidi zethu ze-GPU.
Iindawo ze-GPU VPS zisebenza kwihardware ekhethekileyo ye-GPU, ngoko ukunyusa ukusuka kwi-VPS eqhelekileyo kudinga ukunikezela ngesincedisi esitsha. Nangona kunjalo, ungafudusa ngokulula i-data yakho kunye nokumiselwa kwenkqubo. Iqela lethu loncedo lingakunceda kwinkqubo yokufudusa.
Ewe, zonke iinkqubo zeVPS kubandakanya iGPU VPS zivela ngokhuseleko lwe-DDoS lomgangatho wenethiwekhi, ukufikelela okupheleleyo kwe-root, unxibelelwano lwe-IPv4 kunye ne-IPv6, kunye nemisebenzi yokhuseleko efanayo njenge-VPS yethu eqhelekileyo ye-cloud.
I-GPU VPS ifumaneka ne-Ubuntu 22.04 LTS kunye ne-Ubuntu 24.04 LTS, ezona zixhasayo i-NVIDIA driver. I-Debian 12 ixhaswa kwakhona. Sicebisa i-Ubuntu 24.04 LTS ye-CUDA toolkit ekutshanje.
Hayi, akukho mfuneko yokungena. I-GPU VPS ihlawulwe ngenyanga kwaye ungayirhoxisa nangaliphi na ixesha. Sikholelwa ekusebenzeni, akukho ngxaki yokutshixa kwi-cloud computing.
Yenza nje i-akhawunti, khetha uqwalaselo lwe-GPU VPS, khetha indlela yakho yokusebenza, kwaye uyifake. Iseva yakho ye-GPU-powered izakulungiselela kwimizuzu nge-root access epheleleyo kunye ne-GPU yakho efumanekayo nge-nvidia-smi.
Fumana amandla e-NVIDIA GPU anikezelwe kwimizuzu. Akukho kuhlala, akukho kuthengiswa koqhagamshelwano.