NVIDIA Tesla P40 · 24GB VRAM

Àwọn Àkọlé àwòrán

Ṣàfikún àwọn ààtò dataset nlà 10-100x ní ìrànwọ́ nípa àwọn àtòjọ-ẹ̀yàn GPU-ìṣàfilọ́lẹ̀. RAPIDS, Jupyter, àti àwọn ààtò PyData nípa àwọn ìrọ̀kọ̀ọ̀kan NVIDIA.

Fí Sáàbù GPU Hàn Àwọn Àtòjọ-ẹ̀yàn GPU

$ pip install cudf-cu12 cuml-cu12 jupyterlab && jupyter lab --ip=0.0.0.0
# Ń bọ́ nípa NVIDIA Tesla P40 (24GB)
Tí a tì ṣè _

Àwọn àwọn ààyè-iṣẹ́ tí a fi pamọ́

Àwọn ìṣàmúlò-ètò ìdátà GPU-ìpapọ̀ lo NVIDIA RAPIDS láti mú àwọn pandas, scikit-learn, àti àwọn àtòjọ-ẹ̀yàn ìdátà mìíràn lọ́wọ́lọ́wọ́ lórí GPU. Àwọn ìṣàmúlò-ètò ìdátà tí ó lè gba àwọn àgójọpọ̀ àkókò lórí CPU nínú àwọn àkókò.

Kini idi ti Data Science lo lori VPS.org GPU

Àwọn Ìṣàmúlò-ètò RAPIDS

cuDF (GPU pandas), cuML (GPU scikit-learn), cuGraph (GPU NetworkX).

Júpiter

JupyterLab tí a tí kọ́ nípa ìṣàfarawé ìṣàfarawé nípa ìmọ̀ràn GPU.

Àwọn Àtòjọ-ẹ̀yàn Àìdálẹ̀ Kekeré

24GB GPU iranti fun in-memori data processing.

Àwọn àwọn ìṣàfihàn

Àwọn ìṣàfihàn tí a fi GPU-gbára pẹ̀lú cuXfilter àti Plotly.

Àwọn Ààyè Lòjútó Data Science

Àwọn ààyè-iṣẹ́ àwọn ààyè-iṣẹ́

Àwọn ààyè-iṣẹ́ ìmọ̀nà

Ìjánu-ìṣàmúlò-ètò ETL

Àwọn Ìṣàmúlò-ètò Ìtàn

Àwọn ìṣàfihàn àwọn àká-ìṣàmúlò-ètò

Àwọn ààyè-iṣẹ́

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 Data Science on a GPU VPS?

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

How do I set up Data Science on a GPU VPS?

Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run pip install cudf-cu12 cuml-cu12 jupyterlab && jupyter lab --ip=0.0.0.0. Your Data Science environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for Data Science?

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

Is Data Science 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 Data Science?

Yes — you have full root on the GPU VPS. Run whatever fits inside the 24 GB VRAM and the available RAM / storage budget alongside Data Science.

Do I get full root on the Data Science GPU VPS?

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

Which CUDA version is installed for Data Science?

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 Data Science workload.

Does my Data Science GPU VPS persist between sessions?

Yes — your Data Science 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 Data Science workload?

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

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