NVIDIA Tesla P40 · 24GB VRAM

ГПУ ВПС података

Процесуј масивне сете података 10-100× брже са ГПУ убрзаним алатима за науку о подацима.

$ pip install cudf-cu12 cuml-cu12 jupyterlab && jupyter lab --ip=0.0.0.0
# Трчање на НВИДИА Тесла П40 (24ГБ)
Спреман. _

Шта је {име} на ГПУ ВПС?

ГПУ-убрзани подаци наука користи НВИДИА RAPIDS за покретање панда, сцикит-учитељ, и друге алатке података директно на ГПУ-у. Податаци процеса који би трајали сатима на ЦПУ-у у минутама.

Зашто {име} на VPS.org ГПУ

RAPIDS акумулатор

ЦУДФ (ГПУ панде), ЦУМЛ (ГПУ сцикит- наставник), ЦУГраф (ГПУ НеtworkX).

Јупитер спреман

Предконфигурисани ЈупитерЛаб са ГПУ подршком.

Велики скуп података

24ГБ ГПУ меморија за обраду података у памћењу.

визуализација

ГПУ-убрзана визуализација са ЦуКсфилтер и Плотли.

Популарне {име} случајеве за коришћење

Анализа великог набора података
Инжењење могућности
Убрзање ЕТЛ‐ а
Статистички модел
Графика аналитика
Геопространствена анализа

~@ ¦ГПУ¦GPU¦ спецификације

ГПУNVIDIA Tesla P40
ВРАМ24 GB GDDR5X
ЦУДА језгрова3,840
ФП3212 TFLOPS
ИНТ847 TOPS
меморија БВ346 GB/s
АрхитектураPascal (GP102)
ПролазБаре-метал ПЦИе

Често постављана питања

What is Data Science on a GPU VPS?

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Data Science on a GPU VPS is a CUDA-accelerated deployment. 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.

How do I set up Data Science on a GPU VPS?

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Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run pip install cudf-cu12 cuml-cu12 jupyterlab && jupyter lab --ip=0.0.0.0. Your Data Science environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for Data Science?

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Our GPU VPS ships with 24 GB GDDR5X VRAM on the NVIDIA Tesla P40, which is sufficient for most Data Science workloads. Multi-GPU configurations are available on request.

Is Data Science GPU VPS billed hourly or monthly?

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GPU VPS plans are billed monthly with no lock-in contracts and can be cancelled anytime. Contact us for current GPU pricing tiers.

Can I run other tools alongside Data Science?

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Yes — you have full root on the GPU VPS. Run whatever fits inside the 24 GB VRAM and the available RAM / storage budget alongside Data Science.

Do I get full root on the Data Science GPU VPS?

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Yes. Full root SSH on every GPU VPS — install drivers, swap CUDA versions, customize the environment for Data Science however you need.

Which CUDA version is installed for Data Science?

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GPU VPSs ship with a recent CUDA runtime and the matching NVIDIA driver pre-installed. You can pin or upgrade CUDA versions as required by your Data Science workload.

Does my Data Science GPU VPS persist between sessions?

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Yes — your Data Science GPU VPS is a long-running persistent server, not an ephemeral instance. Models, configs, and data stay on the SSD between sessions.

Where should I store data for my Data Science workload?

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Keep working data on the VPS SSD for fast access during Data Science runs; back up finished artifacts (weights, generations, embeddings) off-server via snapshots or object storage for safety.

Can I scale my Data Science GPU VPS later?

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Yes — plan upgrades are instant from your control panel; the GPU itself can be swapped to a larger tier on request. Your Data Science install carries over.

Are backups available for my GPU VPS?

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Yes. Automated daily backups are an add-on; manual snapshots are free. Useful for long Data Science training runs where you want a checkpointable server state.

Is there a money-back guarantee on the GPU VPS?

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Yes — 30-day money-back guarantee on every plan including GPU. Try Data Science on a GPU VPS risk-free.

Спремни за покретање {име} на ГПУ?

Пошаљите посвећени ГПУ сервер НВИДИА за минуте, без резервације, без продајних позива.

Покрени свој ВПС
Од 2,0 долара.