NVIDIA Tesla P40 · 24GB VRAM

Машинско учење ГПУ ВПС‐ а

Убрзајте машинско учење са ГПУ обуком и закључком.

$ pip install cuml-cu12 xgboost cudf-cu12
# Трчање на НВИДИА Тесла П40 (24ГБ)
Спреман. _

Шта је {име} на ГПУ ВПС?

ГПУ убрзано машинско учење користи НВИДИА ЦУДА за убрзавање обуке и предвиђања за класичне МЛ алгоритме. РAPIDS и ИксГБооост ГПУ могу да доставе 10-100‐ та брзина само преко процесора.

Зашто {име} на VPS.org ГПУ

РAPИДС ЦУМЛ

ГПУ-убрзани Скикит-научени алгоритми сагласни.

~@ ¦ИксГ‐ густ¦XGboost¦ ГПУ

Градиент воза појачавање модела 10х брже на ГПУ.

ЦУДФ и ЦУПи

ГПУ-убрзани панде и нумпи за препроцеђивање података.

ГПУ од краја до краја

Држите цео свој МЛ гасовод на ГПУ за максималну брзину.

Популарне {име} случајеве за коришћење

Класификација и регресија
Инжењерска функција у скали
Реалновременска предвиђања
обрада великог набора података
Аутомол цевоводи
Упоређивање модела

~@ ¦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 Machine Learning on a GPU VPS?

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Machine Learning on a GPU VPS is a CUDA-accelerated deployment. 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.

How do I set up Machine Learning on a GPU VPS?

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Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run pip install cuml-cu12 xgboost cudf-cu12. Your Machine Learning environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for Machine Learning?

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

Is Machine Learning 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 Machine Learning?

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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 Machine Learning.

Do I get full root on the Machine Learning GPU VPS?

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

Which CUDA version is installed for Machine Learning?

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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 Machine Learning workload.

Does my Machine Learning GPU VPS persist between sessions?

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Yes — your Machine Learning 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 Machine Learning workload?

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

Can I scale my Machine Learning 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 Machine Learning 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 Machine Learning 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 Machine Learning 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.