Yi sauri da kara ƙarfin gradient, ma'auni na array da kuma horar da siffa tare da GPU a kan NVIDIA Tesla P40 (24 GB VRAM, Pascal architecture). Masu saukar da GPU ba su da iyakacin umarni har yanzu; tuntuɓi mu don a sanar da mu idan sun kasance.
$ pip install cuml-cu12 xgboost cudf-cu12
# Umarnin shigar da misali
GPU-speeded machine learning uses CUDA to speed up training and prediction. Libraries such as XGBoost and CuPy can use the GPU; NVIDIA RAPIDS needs newer GPUs than the Pascal P40.
Yi wa motsi motsin da ya fi girma a kan GPU.
Array ɗin NumPy-da ake goyon baya waɗanda ke tafiya a kan GPU.
Yi wa'azi ga nau'ikan neural tare da na classical a kan mai ba da sabis ɗin nan na gaba.
Ka shigar da nau'ikan labarun fayil da mai saukarwa ke bukata.
Machine Learning 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. Machine Learning is a general GPU-accelerated workload. Make sure your software has CUDA support and that your driver / runtime versions match the workload requirements for Machine Learning.
An kasa samun masu ba da sabis na GPU don a umarce su. A yau zaka iya tafiyar da Machine Learning 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 cuml-cu12 xgboost cudf-cu12.
Buƙatun VRAM ga Machine Learning 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 Machine Learning 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 Machine Learning 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 Machine Learning ke bukata kai tsaye.
Ya. VPS.org servers are persistent virtual machines, not ephemeral instances: Machine Learning 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 Machine Learning, 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 Machine Learning 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 Machine Learning 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.