NVIDIA Tesla P40 · 24GB VRAM

TensorFlow GPU وي پي ايس

TensorFlow ڪم جي بار کي مخصوص NVIDIA GPU هارڊويئر سان تيز ڪريو. ماڊل کي تربيت ڏيو، اڳڪٿيون سرانجام ڏيو، ۽ مڪمل CUDA مدد سان ML پائپ لائنز ٺاهيو.

$ pip install tensorflow[and-cuda]
# NVIDIA Tesla P40 (24GB) تي ھلندڙ
تيار آھي. _

TensorFlow هڪ GPU VPS تي ڇا آهي؟

TensorFlow گوگل جو مفت-سورس مشين سکڻ وارو فريم ورڪ آهي ML ماڊلز جي تعمير ۽ تعمير لاءِ. GPU VPS سان، توهان کي خاص هارڊويئر حاصل ٿئي ٿو تربيت ۽ نتيجي جي رفتار کي وسيلا ورهائڻ کانسواءِ.

TensorFlow VPS.org GPU تي ڇو

GPU تيز رفتار

TensorFlow آپريشنن لاءِ اصلي CUDA مدد. CPU کان 50x تيز.

هارڊويئر مطابقت رکندڙ

GPU بيڪنڊ سان اعليٰ سطحي ماڊل ٺاهڻ لاءِ مڪمل Keras گڏجاڻي.

ٽينسر بورڊ

پنھنجي سرور تي TensorBoard سان تربيت ڏسو.

TF سروس تيار

GPU تي TensorFlow سروس سان ماڊل کي پيداوار ۾ استعمال ڪريو.

مشهور TensorFlow استعمال جا ڪيس

تصوير جي درجي بندي
شيون ڳولڻ
قدرتي ٻولي جو پروسيس
صلاح ڏيڻ وارو سسٽم
وقت جي سلسلي جو اندازو
پيداوار ML پائپ لائن

GPU جون وضاحتون

گيپ يو پي يوNVIDIA Tesla P40
ورام24 GB GDDR5X
CUDA رنگ3,840
FP3212 TFLOPS
INT847 TOPS
بي- وي ياد346 GB/s
آرڪائيوPascal (GP102)
پاسٿروبي- ميٽال PCIe

گھڻا پڇيل سوال

What is TensorFlow on a GPU VPS?

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TensorFlow on a GPU VPS is a CUDA-accelerated deployment. TensorFlow is a training / fine-tuning workload. Plan for long-running jobs — snapshot your VPS regularly, and consider an external cold-storage backup for trained weights.

How do I set up TensorFlow on a GPU VPS?

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Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run pip install tensorflow[and-cuda]. Your TensorFlow environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for TensorFlow?

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Training VRAM is dominated by the optimizer state plus activations. Full fine-tuning of a 7B LLM needs ~24-48 GB; LoRA / QLoRA fits in 8-16 GB. Our Tesla P40 supports LoRA-class fine-tuning out of the box; full training of larger models requires multi-GPU.

Is TensorFlow 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 TensorFlow?

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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 TensorFlow.

Do I get full root on the TensorFlow GPU VPS?

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

Which CUDA version is installed for TensorFlow?

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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 TensorFlow workload.

Does my TensorFlow GPU VPS persist between sessions?

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Yes — your TensorFlow 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 TensorFlow workload?

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

Can I scale my TensorFlow 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 TensorFlow 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 TensorFlow 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 TensorFlow on a GPU VPS risk-free.

TensorFlow کي GPU تي هلائڻ لاءِ تيار آھيو؟

منٽن ۾ هڪ مخصوص NVIDIA GPU سروس کي استعمال ڪريو. ڪوبه رڪنيت نه، ڪوبه وڪرو فون نه.