NVIDIA Tesla P40 · 24GB VRAM

مشین لرننگ

GPU سے طاقتور تربیت اور انفریکشن کے ساتھ مشين لرننگ کو تیز کریں. RAPIDS، XGBoost GPU، اور وقف NVIDIA ہارڈ ویئر پر scikit-learn.

$ pip install cuml-cu12 xgboost cudf-cu12
# NVIDIA Tesla P40 (24GB) پر چل رہا ہے
تیار. _

GPU VPS پر {نام} کیا ہے؟

GPU-Accelerated مشين لرننگ کلاسک ML الگورتھم کے ليے تربيت اور پیش گوئي کو جلدي کرنے کے ليے NVIDIA CUDA کا استعمال کر تا هے ۔ RAPIDS اور XGBoost GPU صرف CPU کے عمل درآں پر 10-100x speedups پيش کر سکتے هيں ۔

VPS.org GPU پر {نام} کیوں

RAPIDS cuML

GPU-تیار Scikit-لرن قابل الگورتھم

XGBoost GPU

GPU پر 10x تیزی سے گراڈينٹ بوزنگ ماڈل تربيت کريں

cuDF اور cuPy

ڈیٹا پراپروسنگ کے ليے GPU-سریع پانڈا اور Numpy

انڈ-ٹو-اینڈ GPU

گپ يو پر آپ کا پورا ايم ايل پائپ لائن حداکثر رفتار کے لیے رکھیں.

مشهور Machine Learning استعمال کے حالات

درجہ بندی اور واپسی
پيمانے پر فنکشن انجنيئرنگ
رئيل-ٽائم پیشن گوئییں
بڑے ڈیٹا سیٹ پروسیسنگ
AutoML پائپ لائنز
ماڈل بنچمارکنگ

GPU کی وضاحتیں

جی پی یوNVIDIA Tesla P40
ویرام24 GB GDDR5X
CUDA رنگ3,840
FP3212 TFLOPS
INT847 TOPS
یادداشت346 GB/s
فن تعميرPascal (GP102)
پاستھروبيرل ميٹل PCIe

بار بار پوچھے گئے سوالات

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.

GPU پر Machine Learning چلانے کے لیے تیار ہیں؟

منٹوں میں ایک وقف NVIDIA GPU سرور متعارف کرائیں. کوئی رزرویشن نہیں، کوئی بیلز کال نہیں.

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