NVIDIA Tesla P40 · 24GB VRAM

דאַטן־װיסנשאַפֿט GPU VPS

פּראָצעסירן װיפֿל דאַטן־סעקשאַנז 10-100קס שנעלער מיט GPU־באַװעגטע דאַטן־װיסנשאַפֿט־אַרײַנפֿירער. RAPIDS, Jupyter, און דער װאָלטיקער PyData סטאַק אויף NVIDIA װאַרדװירקער

װײַז דעם צענטער אַלע GPU אָפּציעס

$ pip install cudf-cu12 cuml-cu12 jupyterlab && jupyter lab --ip=0.0.0.0
# װײַז די NVIDIA טעסלאַ P40 (24גיב)
גרייט _

וואָס איז Data Science אויף אַ GPU VPS?

GPU-באַהאַלטענע דאַטן־וויסנשאפט ניצט NVIDIA RAPIDS צו לײענען פּאַנדאַס, scikit-לערן, און אנדערע דאַטן־באַנוצערס רעכטס אויף GPU. פּראַסעסע דאַטן־סעקשאַנז װאָס וואָלטן גענומען שעהען אויף CPU אין מינוטען

װאָס איז Data Science אויף VPS.org GPU

RAPIDS סאָרט

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

מעק אַרױס

פֿאַר־צוגעפּאַסט JupyterLab מיט GPU שטיצן

גרײסע דאַטן־סעקשאַנז

24 יולי: אַריבערפירן פון די שטאָט צו ניו יארק.

װיזואליזאַציע

GPU־באַהאַלטענע װיזועליזאַציע מיט cuXfilter און Plotly

באַרימט Data Science ניצן קאַסעס

גרײסע דאַטן־סעלעקציע אַנאַליסיס

פֿײַל־אינזינירונג

ETL פֿאַרגיכערער

סטאַטיסטישע מאָדלירונג

גראַפיק־אַנאַליז

װײַז װיפֿל

װײַז דעם צענטער

GPU ספּעסאַפאַקאַציעס

גרײסNVIDIA Tesla P40

װירוס־רעפֿערענץ24 GB GDDR5X

CUDA פֿאַרבן3,840

FP3212 TFLOPS

INT847 TOPS

זכּרון346 GB/s

ארכיטעקטורעPascal (GP102)

דורכפֿאַלקלײן־מעטאַל PCIe

פֿראַגעס

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.