I-NVIDIA GPUs ekhethekile ene-bare-metal passthrough. Uqeqesha amamodeli, uqhube ukubikezela, ukhiqize ividiyo, futhi ukhawulele ukudweba kwesayensi ngokudinga.
+-------------------------+
| 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 ekhethekile ene-PCIe passthrough ephelele yemisebenzi ephakeme
Sisebenza ngokuqhubekayo ukuthuthukisa i-GPU yethu. Amamodeli e-NVIDIA GPU angeziwe ane-VRAM ephezulu kanye ne-architecture entsha izotholakala ngokushesha.
Udinga i-GPUs yebhizinisi (A100, H100) noma izinhlelo eziningi ze-GPU? Xhumana nathi uxoxe ngezidingo zakho.
Ukusuka ekuqeqesheni amanethiwekhi engqondo kuya ekuboniseni izimo ze-3D, i-GPU VPS iphatha konke
Uqeqesha amamodeli wokufunda okunzulu nge-PyTorch, TensorFlow, noma i-JAX. Ulungele amamodeli e-language akhulu njenge-LLaMA, Mistral, ne-Stable Diffusion ku-GPU hardware ekhethekile.
Qala →Sebenzisa amamodeli we-AI ekukhiqizeni nge-GPU ephansi-latency. Sebenzisa ama-LLMs, ukukhishwa kwesithombe, ukuphawula kokukhuluma, kanye ne-computer vision APIs ngokulinganisela.
Qala →Ukwenza ngcono ukudluliswa kwevidiyo nge NVENC, ukuveza izimo ze-3D nge-Blender noma i-Maya, nokuphatha amapayipi e-media anesinqumo esiphezulu nge-GPU-ekhawulelwe ukudluliswa kwekhodi.
Qala →Sebenzisa i-molecular dynamics, imiqondo yesimo sezulu, i-computational fluid dynamics, nezinye izinhlelo zokusebenza ze-HPC ezikhawulelwe yi-CUDA-enabled GPUs.
Qala →Ukwenza izingcezu zedatha zihambe ngokushesha nge-RAPIDS, cuDF, ne-cuML. Ukwenza amasethingi edatha amakhulu, uqhuba ucwaningo olukhawulelwe yi-GPU, futhi ukwakha ukudluliswa komsebenzi wokuphatha idatha ngesikhathi sangempela.
Qala →Ukwakha futhi uphinde usebenzise izicelo ze-AI nge-Jupyter notebooks, i-VS Code engaphandle, kanye nesimo sokukhula se-CUDA esigcwele. Ukwenza i-prototype ngokushesha ngezinto ezinikezelwe ze-GPU.
Qala →I-PCIe eqondile edlula isho ukuthi akukho lutho olubonakalayo. Ikhodi yakho ikhuluma ngqo kwi-GPU hardware.
Akukho kuphikiswa okunzima noma ukubiza ukuthengisa. Khetha i-GPU yakho, khetha i-OS, futhi usebenzise imizuzu.
Ukhokhwa kwenyanga ngaphandle kwesivumelwano sokuvala. Ukwehla uma ufuna ama-GPU, ukwehla uma awudingi.
Faka noma iyiphi iphrojekthi, imodeli yomshayeli, noma i-CUDA toolkit. Umsekeli wakho, imithetho yakho. Ukungena kwe-SSH kusukela ngosuku lokuqala.
Ama-guides alungiselelwe phambili ama-AI/ML frameworks athandwayo, amathuluzi okudala, nama-GPU-accelerated applications
Konke odinga ukukwazi mayelana ne-GPU VPS hosting
I-GPU VPS iyiseva ebonakalayo ekhethekile efakwe amathuluzi we-NVIDIA GPU. Inikeza ukulungele okufanayo njenge-VPS ejwayelekile kodwa ngekhono lokuphatha elinamandla le-AI / ML loqeqesho, ukubikezela, ukuveza, kanye nokusebenza kwe-computer yesayensi.
Sinikeza i-NVIDIA Tesla P40 GPUs nge-24GB ye-VRAM ngayinye. Lezi GPUs zihamba phambili ku-AI / ML inference, imodeli ye-fine-tuning, i-video transcoding, kanye ne-scientific computing. Amamodeli e-GPU angeziwe azofakwa njengoba sithuthukisa isakhiwo sethu.
I-GPU passthrough inikeza i-VPS yakho ukungena okuqondile, okungenalutho kwe-metal ku-physical GPU hardware. Ngokuhlukile ku-GPUs ezihlukanisiwe noma ezibonakalayo, uthola ukusebenza okuphelele kwe-GPU ngaphandle kwe-overhead. Izicelo zakho zixhumana ne-GPU ngokuqondile njengokuba zizosebenza kwi-machine ekhethekile.
Isibonelo se-GPU VPS sifika ne-Ubuntu kanye nesinqumo sokuba ne-NVIDIA drivers kanye ne-CUDA toolkit efakwe ngaphambili. Ungafaka futhi i-version yakho ethandekayo ye-driver ngesandla. Sinikeza incwadi yokuhlela ama-ML frameworks athandwayo njenge-PyTorch ne-TensorFlow.
Yebo, ungaxhuma ama-GPU amaningi ku-VPS eyodwa yokusebenza okunenzuzo ekuqeqesheni kwe-multi-GPU noma ekusebenzeni okufanayo. Xhumana neqembu lethu lentengiso nge-multi-GPU ukuhlela nokukhokha.
I-GPU VPS iyintandokazi ye-AI / ML model training and inference, i-large language model fine-tuning, i-computer vision, i-video transcoding and rendering, scientific simulations, kanye nanoma yisiphi isibalo semisebenzi esiza ekusebenzeni kwe-massive parallel processing power.
I-GPU VPS ikhokhwa ngenyanga, njengezinhlelo zethu ze-VPS ezijwayelekile. Ukhokha kuphela isikhathi lapho iseva yakho ihlinzekwa. Xhumana nathi ngentengo yamanje njengoba siqedela izinsizakalo zethu ze-GPU.
Isibonelo se-GPU VPS sisebenza ku-hardware ekhethekile ye-GPU, ngakho-ke ukuthuthukiswa kusuka ku-VPS ejwayelekile kudinga ukuhlinzeka ngesiphakeli esitsha. Kodwa-ke, ungashintsha kalula idatha yakho nezinhlelo zakho. Iqembu lethu lexhaso lingasiza ngenqubo yokushintsha.
Yebo, zonke izinhlelo ze-VPS kufaka phakathi i-GPU VPS zifika ngokuvikelwa kwe-DDoS esiteji senethiwekhi, ukufinyelela okuphelele kwe-root, ukuxhumeka kwe-IPv4 ne-IPv6, kanye nezici zokuphepha ezifanayo njenge-VPS yethu ejwayelekile ye-cloud.
I-GPU VPS itholakala ne-Ubuntu 22.04 LTS ne-Ubuntu 24.04 LTS, enikeza insizakalo engcono kakhulu ye-NVIDIA driver. I-Debian 12 nayo ixhaswe. Sicebisa i-Ubuntu 24.04 LTS ye-CUDA toolkit emisha.
Akukho, akukho lutho oluncane. I-GPU VPS ikhokhwa ngenyanga futhi ungayeka noma nini. Sikholelwa ekusebenzeni okunembile, okungangeni lutho.
Ukwenza i-akhawunti, khetha i-GPU VPS configuration, khetha indlela yakho yokusebenza, futhi usebenzise. Isisebenzisi sakho esisebenza nge-GPU sizokwazi ukufinyelela ngokugcwele ku-root futhi i-GPU yakho itholakala nge-nvidia-smi.
Thola amandla e-NVIDIA GPU emingwane. Akukho ukubhukha, akukho ukudlulisa.