NVIDIA Tesla P40 · 24GB VRAM

Машина ўрганувчи GPU VPS

Машина ўқитишни GPU-қувватланган ўқитиш ва хулоса билан тезлаштиринг. NVIDIA жиҳозлари учун RAPIDS, XGBoost GPU ва scikit-learn.

$ pip install cuml-cu12 xgboost cudf-cu12
# NVIDIA Tesla P40 (24GB) устида ишлаётган
Дастлабки _

GPU VPS'да Machine Learning нима?

GPU тезлаштирилган машина ўқитиш NVIDIA CUDA ни классик ML алгоритмлари учун ўқитиш ва прогнозларни тезлаштириш учун фойдаланади. RAPIDS ва XGBoost GPU фақат CPU амалга оширишдан 10-100x тезлашишни таъминлайди.

Нима учун Machine Learning VPS.org GPU устида

RAPIDS cuML

GPU тезлаштирилган scikit-learn мос келувчи алгоритмлар.

XGBoost GPU

Градиентни кучайтириш моделларини GPUда 10x тезроқ тайёрлаш.

cuDF ва cuPy

Маълумотларни олдиндан ишлаш учун GPU тезлаштирилган pandas ва numpy.

ГПЮ-дан-ГПЮга

Максимал тезлик учун бутун ML қувурингизни GPUда сақланг.

Machine Learning нинг машҳур ишлатилиши

Классификация ва регрессия
Масштабдаги хусусиятлар муҳандислиги
Реал вақтдаги прогнозлар
Катта маълумотларни ишлаш
AutoML қувурлари
Модел бенчмаркинги

GPU хусусиятлари

ГПУNVIDIA Tesla P40
VRAM24 GB GDDR5X
CUDA ранглари3,840
FP3212 TFLOPS
INT847 TOPS
Ёдда сақлаш346 GB/s
АрхитектураPascal (GP102)
ЎтишБар-метал PCIe

Кўп бериладиган саволлар

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.

Machine Learning ни GPUда ишга туширишга тайёрмисиз?

Минутлар ичида ажратилган NVIDIA GPU серверини ўрнатинг. Резервлар йўқ, сотиш қўнғироқлари йўқ.

VPS'ингизни ишга туширинг
$2.0/ойдан