NVIDIA Tesla P40 · 24GB VRAM

Тенсорфлоу ГПУ ВПС

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Распореди ГПУ сервер Све опције ГПУ‐ а

$ pip install tensorflow[and-cuda]
# Трчање на НВИДИА Тесла П40 (24ГБ)
Спреман. _

Шта је {име} на ГПУ ВПС?

ТенсорФлоу је Гуглов оквир за машинско учење отвореног извора за изградњу и постављање МЛ модела. Уз ГПУ ВПС, добијете посвећени хардвер за убрзавање обуке и закључавања без дељења ресурса.

Зашто {име} на VPS.org ГПУ

ГПУ убрзан

Подршка за КУДА за операције Тенсорфлоу. До 50× брже од ЦПУ‐ а.

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Тенсорборд

Монитор тренинг са Тенсорборд на вашем серверу.

~@ ¦ТФ¦TF¦ сервирање спремно

Покрени моделе у производњу са Тенсорфлоу сервисом на ГПУ.

Популарне {име} случајеве за коришћење

класификација слика

Откривање објекта

Природна обрада језика

Системи препорука

Прогнозирање вр› ијемених низова

Производни МЛ гасоводи

Распореди ГПУ сервер

~@ ¦ГПУ¦GPU¦ спецификације

ГПУNVIDIA Tesla P40

ВРАМ24 GB GDDR5X

ЦУДА језгрова3,840

ФП3212 TFLOPS

ИНТ847 TOPS

меморија БВ346 GB/s

АрхитектураPascal (GP102)

ПролазБаре-метал ПЦИе

Често постављана питања

What is TensorFlow on a GPU VPS?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

Yes — 30-day money-back guarantee on every plan including GPU. Try TensorFlow on a GPU VPS risk-free.