NVIDIA Tesla P40 · 24GB VRAM

زانستی زانیاریەکان

١٠-١٠٠ جار خێراتر داتا کۆدەکان بە ئامرازەکانی زانستی داتا خێراکراوی GPU بەڕێوەببە. ڕاپیدس، جوپیتەر، و کۆی پای داتا لەسەر کەرەستەی NVIDIA.

دابەشکەری GPU دابمەزرێنە هەمو هەڵبژاردەکان

$ pip install cudf-cu12 cuml-cu12 jupyterlab && jupyter lab --ip=0.0.0.0
# لەسەر NVIDIA Tesla P40 (24GB) کاردەکات
ئامادە _

Data Science چیە لەسەر GPU VPS؟

زانینی زانیاری خێراکراوی GPU بەکاردەهێنێت NVIDIA RAPIDS بۆ ڕاگرتنی پاندا، scikit-learn، و ئامرازەکانی زانیاری دیکە بە ڕاستەوخۆ لەسەر GPU. کۆدەکانی زانیاری کە کاتژمێرێک لە CPU دەگرێت لە چەند خولەکێکدا.

Why Data Science on VPS.org GPU

کۆپیکردنی خێرا

1999: ڕیچارد لۆپ (R. L. Loop) و ستیڤ لۆپ (Steve Loop).

ئامادەکردنی جوپیتەر

JupyterLab پێش-بەڕێوەچوو لەگەڵ پشتگیری GPU

کۆد

24GB GPU بۆ پڕۆسێسی زانیاری لە بیرەوەریدا.

بینینی

بەخێرایی GPU-ی بینین لەگەڵ cuXfilter و Plotly

Data Science بەکارھێنانی باوە

شیکردنەوەی کۆدێکی گەورە

تایبەتمەندی

خێراکردنی ETL

مۆدێلی ژمێریاری

شیکاری گرافیک

شیکاریی جوگرافی

تایبەتمەندییەکانی GPU

پڕۆسێسەری وێنەی گرافیکیNVIDIA Tesla P40

بیرگەی ڤێریو24 GB GDDR5X

ڕەنگەکانی CUDA3,840

ف ب ٣٢12 TFLOPS

INT٨47 TOPS

بیرگەی شین346 GB/s

ئامێرسازیPascal (GP102)

_گواستنەوەیبری-متال پی سی ئای

پرسیاری زۆر کراوە

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.