NVIDIA Tesla P40 · 24GB VRAM

Машинное обучение GPU VPS

Ускорение машинного обучения с помощью GPU тренировки и вывода. RAPIDS, XGBoust GPU и scikit-earn на специальных аппаратных средствах NVIDIA.

$ pip install cuml-cu12 xgboost cudf-cu12
# Работает на NVIDIA Tesla P40 (24GB)
Готов. _

Что такое GPU VPS?

Ускоренное машинное обучение GPU использует NVIDIA CUDA для ускорения подготовки и прогнозирования классических алгоритмов ML. RAPIDS и XGBoust GPU могут производить 10100 x быстрых процессов по сравнению только с процессорами.

Почему {имя} на VPS.org GPU

RAPIDS cuML

Ускоренные алгоритмы, совместимые с сикитом GPU.

XGBoust GPU

Модель повышения градиента поезда на 10x быстрее на GPU.

cuDF & cuPy

Ускоренные панды и подгузники для предварительной обработки данных.

Окончание-окончание ГПУ

Держите весь трубопровод ML на GPU для максимальной скорости.

Популярные случаи использования {имя}

Классификация & регрессия
Технико-конструкторские работы в масштабе
Прогнозы в реальном масштабе времени
Крупномасштабная обработка наборов данных
Автомобильные трубопроводы
Типовые контрольные показатели

Спецификации GPU

ГПУNVIDIA Tesla P40
VRAM24 GB GDDR5X
CUDA Kopes3,840
РП3212 TFLOPS
INT847 TOPS
Память346 GB/s
АрхитектураPascal (GP102)
ПроходБрюшная металлургическая PCIe

Часто задаваемые вопросы

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.

Готовы запустить GPU?

Развертывать специальный сервер NVIDIA GPU в минутах.

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От 2,0 долл. США/мо