Kudzidzisa mamodheru, kuisa zvikonzero, kuburitsa mavhidhiyo, uye kusimudzira kuongorora kwesainzi pavanoda.
+-------------------------+
| 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|
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$ python train.py --model llama
Loading model... _
Dedicated NVIDIA GPUs nePCIe passthrough yekuwedzera kugadzikana kwebasa
Tichienderera mberi nekusimudzira GPU yedu, zvitsva zveNVIDIA GPU neVRAM yakakura uye nemhando nyowani dzechimiro zvichave zviripo munguva pfupi.
Une chikumbiro cheGPU yepasi rose (A100, H100) kana multi-GPU configurations?Tinovimba kuti tichakubatsira.
Kubva pakudzidzisa neural networks kusvika pakuburitsa 3D mapikicha, GPU VPS inobata zvese
Kudzidzisa mamodheru e deep learning nePyTorch, TensorFlow, kana JAX. Kugadzirisa mamodheru emhando dzakawanda dzemitauro seLLaMA, Mistral, uye Stable Diffusion pane zvakananga GPU hardware.
Kutanga →Kushandisa AI mamodheru mukugadzira neGPU ine yakaderera latency. Kushandira LLMs, kuumbwa kwechifananidzo, kuzivikanwa kwemashoko, uye maAPI ekuona kwekombuta padiki.
Kutanga →Kuwedzera kukwira kwevhidhiyo transcoding neNVENC, kuburitsa 3D mapikicha neBlender kana Maya, uye kuongorora midhiya ine resolution yepamusoro neGPU-yakawedzera encoding.
Kutanga →Kushanda nemolecular dynamics, climate simulations, computational fluid dynamics, uye mamwe HPC workloads akawedzera neCUDA-yakabvumidzwa GPUs.
Kutanga →Kuwedzera kugadzikana kwedata pipelines ne RAPIDS, cuDF, uye cuML. Kugadzira mazhinji madata, kuisa GPU-yakawedzera analytics, uye kugadzira real-time data processing workflows.
Kutanga →Kugadzira uye kudzokorora paAI maapplication neJupyter notebooks, VS Code remote, uye yakazara CUDA development environments.Prototype nekukurumidza neyakazvimira GPU zviwanikwa.
Kutanga →Direct PCIe passthrough zvinoreva zero virtualization overhead. Kodi yako inotaura zvakananga kune GPU hardware.
Hapana kuchengeteka kwakaoma kana kufona kwekutengesa. Dzvanya pane yako GPU, sarudza OS, uye shandisa mumasekondi.
Kuwedzera kana iwe uchida GPUs, kuderera kana iwe usingafanire.
Kuisa chero framework, mutyairi vhezheni, kana CUDA toolkit. Your server, yako mitemo. SSH kuwanikwa kubva zuva rimwe.
Pre-configured zvinyorwa zvemazano ezvirongwa zveAI / ML, zviwanikwa zvekugadzira, uye GPU-inokurumidza maapplication
Zvese zvaunoda kuti uzive nezve GPU VPS hosting
A GPU VPS inzvimbo yemahara yemahara server ine yakasarudzika NVIDIA GPU hardware.Inopa iyo imwecheteyo kugadzikana seyakajairwa VPS asi ine simba rakaenzana nekugadzirisa kugona kweAI / ML kudzidziswa, kufungidzira, kuburitsa, uye chidzidzo chesainzi.
Panguva ino, tinopa NVIDIA Tesla P40 GPUs ine 24GB yeVRAM. Izvi GPUs zvinobudirira paAI / ML inference, model fine-tuning, video transcoding, uye scientific computing. Zvimwe GPU mamodheru achawedzerwa sezvatinowedzera nharaunda yedu.
GPU passthrough inopa yako VPS yakananga, bare-metal kuwanikwa kwechimiro cheGPU hardware. Zvichisiyana neGPUs dzakabatanidzwa kana dzakavharwa, iwe unowana zvese zveGPU pasina overhead. Maapplication ako anosangana neGPU zvakafanana sezvaizoita pane yakazvimirira machine.
GPU VPS instances dzinouya neUbuntu uye nesarudzo yekuisa NVIDIA drivers uye CUDA toolkit zvakaiswa. Iwe unogonawo kuisa yako yaunofarira driver vhezheni nemunhu.Tinopa mapepanhau ekuisa ML frameworks anonyanya kufarirwa senge PyTorch neTensorFlow.
Iwe unogona kubatanidza akawanda GPUs kune imwe VPS yebasa rebasa iro rine hutano hwekudzidziswa kwemulti-GPU kana kuongorora kwakaenzana.Taurirana nekambani yedu yekutengesa nezve multi-GPU configurations uye mutengo.
GPU VPS inonyanya kunyatsoshanda kune AI / ML model kudzidziswa uye kufungidzira, nyanzvi yemutauro wemufananidzo, computer vision, video transcoding uye rendering, scientific simulations, uye chero workload iyo inowana kubva kune yakakura parallel processing power.
GPU VPS inobhadharwa pamwedzi, sezvatinopa standard VPS mapurogiramu. Unogona kubhadharisa chete nguva yako ye server. Tinya kuti uwane mutengo wenguva dzose sezvo tichizogadzirisa zvigadzirwa zvedu zveGPU tier.
GPU VPS instances inofamba pane yakasarudzika GPU-yakagadzirirwa hardware, saka kuvandudzwa kubva kune standard VPS kunodiwa kupihwa kweiyo nyowani server. Sezvo iwe unogona nyore kutumira data rako uye kuiswa.
Yeah, zvese VPS zvirongwa kusanganisira GPU VPS zvinouya neDDoS kudzivirirwa panzvimbo ye network, yakazara root access, IPv4 uye IPv6 kubatanidza, uye iyo imwechete yekuchengetedza maficha seyakajairwa cloud VPS inopihwa.
GPU VPS inowanikwa neUbuntu 22.04 LTS uye Ubuntu 24.04 LTS, iyo ine yakanakisa NVIDIA driver rutsigiro. Debian 12 zvakare inotsigirwa.Tinokurudzira Ubuntu 24.04 LTS yekupedzisira CUDA toolkit kuenderana.
Hapana, hapana minimum commitment. GPU VPS inobhadharwa pamwedzi uye unogona kukanzura chero nguva.Tine chokwadi chekugadzikana, pasina kuvharwa kwecloud computing.
Iwe unogona kuisa yako GPU-yakagadzirirwa server munguva pfupi chete nekushandisa iyo GPU-yakagadzirirwa server uye yako GPU ichave yakakwana nekushandisa iyo nvidia-smi.
Get dedicated NVIDIA GPU power in minutes. No reservations, no sales calls.