Da zarar an gama: NVIDIA Tesla P40, 24 GB VRAM

Jupyter GPU Notebook Server

Run Jupyter notebooks on a NVIDIA Tesla P40 (24 GB VRAM, Pascal architecture) for interactive data science and ML work. GPU servers are not orderable yet; contact us to be notified when they are.

$ pip install jupyterlab torch && jupyter lab --ip=0.0.0.0 --allow-root
# Umarnin shigar da misali

Mece ce {nama} a kan wani GPU VPS?

Jupyter notebooks a kan mai ba da sabis na GPU suna ba ka wani yanayi mai haɗi wanda kwayoyin notebook na iya amfani da GPU. Mai amfani ga gwaje-gwaje da samar da siffa.

Jupyter akan mai ba da sabis na GPU na VPS.org

GPU a cikin Notebooks

Yi amfani da GPU daga kwamfutocin kwamfutoci bayan an shigar da CUDA da tsarinka.

JupyterLab

JupyterLab tare da tashar jiragen ruwa, mai binciken fayiloli da fassara.

Your Own Libraries

Ka shigar da PyTorch, TensorFlow, scikit-learn, pandas da duk wani abu da kake bukata.

QDialogButtonBox

Cire waƙoƙin rubutunku daga wani mai bincike; ku tabbatar da su da wata alama, kalmar sirri ko SSH tunnel.

{nama} Kasuwanci Masu Sauƙaƙe

KCharselect unicode block name
QDialogButtonBox
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KNotesPlugin
QDialogButtonBox

Bayanin GPU

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5
@ action3,840
KCharselect unicode block name12 TFLOPS
KCharselect unicode block name47 TOPS
KWrite346 GB/s
KCharselect unicode block namePascal (GP102)
QShortcutBare-metal PCIe

Tambayoyi da ake yi da yawa

Me ya ke da Jupyter a kan GPU VPS?

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Jupyter zai iya amfani da NVIDIA GPU don saurin aiki. VPS.org GPU servers are not available to order yet; contact us to hear when they are. Jupyter is a general GPU-accelerated workload. Make sure your software has CUDA support and that your driver / runtime versions match the workload requirements for Jupyter.

Ta yaya zan saita Jupyter a kan GPU VPS?

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An kasa samun masu ba da sabis na GPU don a umarce su. A yau zaka iya tafiyar da Jupyter akan wani shirin CPU na yau da kullum, inda zai yi aiki da sauri fiye da a kan GPU: SSH cikin kuma ka yi tafiyar da pip install jupyterlab torch && jupyter lab --ip=0.0.0.0 --allow-root.

Menene yawan VRAM da nake bukata ga Jupyter?

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Buƙatun VRAM ga Jupyter suna dogara kan nau'in da girman ƙungiya; duba takardun aikin shirin domin ƙididdiga na yanzu.

Menene farashin wani mai ba da sabis na GPU ga Jupyter?

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Za'a wallafa farashin GPU idan za'a iya umarnin masu ba da sabis na GPU. Ka tuntuɓi mu idan kana so ka ji lokacin da wannan ya faru.

Shin zan iya tafiyar da wasu kayan aiki tare da Jupyter?

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Yanzu, duk mai ba da sabis na VPS.org yana da damar shiga mai amfani da shi, don haka zaka iya tafiyar da wasu kayan aiki tare da Jupyter cikin RAM da ajiyar mai ba da sabis.

Shin zan samu cikakkiyar ƙanƙara a kan Jupyter GPU VPS?

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Every VPS.org server comes with full root SSH access, so you can install drivers, libraries and Jupyter however you need.

Shin VPS.org zai yi shigarwa na farko na CUDA ga Jupyter?

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Ba. Babu mai ba da sabis da ya zo da wani CUDA runtime ko NVIDIA mai sarrafa da aka shigar da shi a gaba, kuma masu ba da sabis na GPU ba su da sauki a umarce su ba har yanzu. Za ka iya shigar da sifofin da Jupyter ke bukata kai tsaye.

Shin VPS na Jupyter GPU na ci gaba tsakanin zaman shawara?

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Ya. VPS.org servers are persistent virtual machines, not ephemeral instances: Jupyter models, configurations and data stay on the server's SSD storage until you delete them.

Ina zan adana bayanai na kan Jupyter na aiki?

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Ka riƙe bayanan aiki a kan SSD na mai ba da sabis domin samun damar sauri yayin da ake tafiyar da Jupyter, kuma ka kwafe artifacts da aka gama (matsaloli, shekaru, embeddings) zuwa ajiyar waje VPS.org; snapshots da backups suna zama a kan ƙungiya mai ajiyar guda.

Shin zan iya daidaita Jupyter GPU VPS na nan gaba?

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Za ka iya canza kowace masarauta VPS.org zuwa wani shirin da ya fi girma daga fanel na kulawa; sake girman zai sake fara shi kuma shigarwarka ta Jupyter za ta yi ta. Masarautar GPU ba ta da sauki ba har yanzu.

Shin akwai madadin ga GPU na VPS?

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Yes. Backups are a paid add-on (daily +30% of the plan price, kept 7 days; weekly +20%, kept 28 days) and snapshots are free, which is useful before long Jupyter runs. Both stay on the same storage cluster as the server.

Shin, zan iya samun wani sakamako?

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Ka tuntubi goyon baya cikin kwanaki 30 na farkon siyarka don neman dawo da kuɗi. Ba a sayar da masu watsa shirye-shiryen GPU ba har yanzu, don haka babu umarnin GPU da aka haɗa.

Shin kana so ka bi Jupyter a kan mai ba da sabis na GPU?

GPU na da iyakacin ƙarfin aiki. Ka gaya mana game da nauyin aikinka kuma za mu amsa da damar da farashin.