NVIDIA Tesla P40 · 24GB VRAM

Àwọn Àkọsílẹ̀ GPU

Ṣí àwọn àwọn àwòrán ìmọ̀ràn tí a fi pamọ́ sí àwọn ìṣàmúlò-ètò NVIDIA GPU. Lẹ́ẹ̀kà LLMs tí a fi pamọ́ sí àwọn àwòrán ìrísí-lẹ́tà kọ̀ǹpútà tí a fi pamọ́ láti inú.

$ pip install torch transformers datasets accelerate && python train.py
# Ń bọ́ nípa NVIDIA Tesla P40 (24GB)
Tí a tì ṣè _

Àwọn àwọn ààyè-iṣẹ́ tí a fi pamọ́

Àwọn ìṣàmúlò-ètò AI ìṣàmúlò-ètò niló ìṣàmúlò-ètò párílẹ̀ tí GPUs ǹfí. Àwọn ìṣàmúlò-ètò GPU náà ǹfí ọ̀fẹ́ hàn fún ọ̀pa NVIDIA láti sàmín àwọn ìṣàmúlò-ètò láti kò ní ìgbàdálẹ̀ fun àwọn ààyè-iṣẹ́.

Kini idi ti AI Training lo lori VPS.org GPU

GPU tí a fi pamọ́

GPU Tesla P40 to kù pẹlu 24GB VRAM. Kò ní àwọn ààyè tí a pọ̀lù láti pọ̀lù.

Àwọn ààyè-iṣẹ́ Ánòtì

PyTorch, TensorFlow, JAX, tàbí àwọn ààyè-iṣẹ́ CUDA-ọ̀kan.

Àwọn Àwọn Ààyè-iṣẹ́

SSD storage for datasets, checkpoints, and model artifacts.

Àwọn Ìjánu-ìwé SSH

Àwọn ìṣàmúlò-ètò rootì. Àtòjọ-ẹ̀yàn ìṣàfihàn rẹ̀ bí a tì fẹ́.

Àwọn Ààyè Lòjútó AI Training

Àwọn ìṣàmúlò-ètò ìṣàfarawé
Ṣàfikún ìmọ̀
Àwọn ìṣàmúlò-ètò ìṣàmúlò-ètò
Àwọn ààyè-iṣẹ́ àwọn ìṣàfarawé àwọn ìpéwọ̀n
Àwọn ààyè-iṣẹ́ àwọn ààyè-iṣẹ́
Àwọn ìṣàmúlò-ètò àìfilọ́lẹ̀

GPU Specifications

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
Àwọn àwọ̀ CUDA3,840
FP3212 TFLOPS
INT847 TOPS
Àwọn àwọn àmì-ìwé346 GB/s
Àwọn Ìṣàmúlò-ètòPascal (GP102)
Àwọn Ìjánu-ìṣàmúlò-ètòPCIe àìdárá

Àwọn Àtòjọ-ẹ̀yàn

What is AI Training on a GPU VPS?

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AI Training on a GPU VPS is a CUDA-accelerated deployment. AI Training is a general GPU-accelerated workload. Make sure your software has CUDA support and that your driver / runtime versions match the workload requirements for AI Training.

How do I set up AI Training on a GPU VPS?

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Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run pip install torch transformers datasets accelerate && python train.py. Your AI Training environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for AI Training?

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

Is AI Training 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 AI Training?

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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 AI Training.

Do I get full root on the AI Training GPU VPS?

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

Which CUDA version is installed for AI Training?

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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 AI Training workload.

Does my AI Training GPU VPS persist between sessions?

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Yes — your AI Training 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 AI Training workload?

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

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

Tí o tí fẹ́ láti Rọ́ọ̀nù AI Training lórí GPU?

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