NVIDIA Tesla P40 · 24GB VRAM

TensorFlow GPU VPS

Ṣàfikún àwọn iṣẹ́ TensorFlow láti inú àwọn ìṣàmúlò-ètò NVIDIA GPU. Ṣàfikún àwọn àwọn àwòrán, fi àwọn àwọn ìṣàfilọ́lẹ̀ pamọ́, àti ìṣàfilọ́lẹ̀ àwọn pánẹ́ẹ̀lì ML láti inú ìmọ̀ràn CUDA.

Fí Sáàbù GPU Hàn Àwọn Àtòjọ-ẹ̀yàn GPU

$ pip install tensorflow[and-cuda]
# Ń bọ́ nípa NVIDIA Tesla P40 (24GB)
Tí a tì ṣè _

Àwọn àwọn ààyè-iṣẹ́ tí a fi pamọ́

TensorFlow is Google's open-source machine learning framework for building and deploying ML models. With GPU VPS, you get dedicated hardware to accelerate training and inference without sharing resources.

Kini idi ti TensorFlow lo lori VPS.org GPU

GPU tí a fi pẹ̀lú

Àwọn ìṣàfilọ́lẹ̀ CUDA àwọn iṣẹ́ TensorFlow. Lẹ́ẹ̀kan lọ́wọ́lọ́wọ́ jú CPU lọ.

Àwọn Ìrọ̀kọ̀sì Tí A Fẹ̀

Ìdákọ́rà tí a fi kọ́ nípá ìṣàmúlò-ètò tí o gàjú nípá ìpele-òkè GPU.

Àwọn Àwọn Ààyè-iṣẹ́

Àwọn ìṣàmúlò-ètò ìṣàfihàn láti inú TensorBoard lórí àwọn sáà rẹ̀.

Tí a tí ṣẹ́ṣẹ̀ fi TF pamọ́

Fi àwọn àwọn ààyè-iṣẹ́ pamọ́ sí ìṣàfilọ́lẹ̀ láti inú TensorFlow Serving lórí GPU.

Àwọn Ààyè Lòjútó TensorFlow

Àwọn àwọn àwòrán

Àwọn àwọn àwọn àwọn àwọn àwọn àwọn

Ìṣàmúlò-ètò ìtàn

Àwọn ìṣàmúlò-ètò ìṣàmúlò-ètò

Àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn

Àwọn ìṣàmúlò-ètò ML

Fí Sáàbù GPU Hàn

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 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.