Yi amfani da GPU a kan NVIDIA Tesla P40 (24 GB VRAM, Pascal architecture) domin aikin kimiyya na bayanai a cikin Jupyter. Masu karɓa na GPU ba su da iyaka; tuntuɓi mu don a sanar da mu idan sun kasance.
$ pip install cudf-cu12 cuml-cu12 jupyterlab && jupyter lab --ip=0.0.0.0
# Umarnin shigar da misali
GPU-speeded data science shi ne motsa ma'aunin da kuma ƙididdiga na nau'i zuwa GPU. CuPy, XGBoost da PyTorch suna goyon bayan Pascal P40; NVIDIA RAPIDS (cuDF, cuML) suna bukata wani sabon GPU.
Array ɗin GPU da kuma kara ƙarfin gradient da ke goyon bayan Pascal GPUs.
Ka shigar da JupyterLab kuma ka yi aiki cikin haɗin kai akan GPU.
Ka riƙe manyan array a cikin ƙwaƙwalwar GPU yayin da kake aiki.
Ka shigar da nau'in PyData da kake bukata.
Data Science 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. Data Science is a general GPU-accelerated workload. Make sure your software has CUDA support and that your driver / runtime versions match the workload requirements for Data Science.
An kasa samun masu ba da sabis na GPU don a umarce su. A yau zaka iya tafiyar da Data Science 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 cudf-cu12 cuml-cu12 jupyterlab && jupyter lab --ip=0.0.0.0.
Buƙatun VRAM ga Data Science suna dogara kan nau'in da girman ƙungiya; duba takardun aikin shirin domin ƙididdiga na yanzu.
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.
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 Data Science cikin RAM da ajiyar mai ba da sabis.
Every VPS.org server comes with full root SSH access, so you can install drivers, libraries and Data Science however you need.
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 Data Science ke bukata kai tsaye.
Ya. VPS.org servers are persistent virtual machines, not ephemeral instances: Data Science models, configurations and data stay on the server's SSD storage until you delete them.
Ka riƙe bayanan aiki a kan SSD na mai ba da sabis domin samun damar sauri yayin da ake tafiyar da Data Science, 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.
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 Data Science za ta yi ta. Masarautar GPU ba ta da sauki ba har yanzu.
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 Data Science runs. Both stay on the same storage cluster as the server.
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.
GPU na da iyakacin ƙarfin aiki. Ka gaya mana game da nauyin aikinka kuma za mu amsa da damar da farashin.