Yi aiki da masu adana bayanai masu yawa 10-100x cikin sauri tare da kayan aikin kimiyya na bayanai da aka gaggauta GPU. RAPIDS, Jupyter, da kuma cikakkun PyData stack akan kayan aikin NVIDIA.
$ pip install cudf-cu12 cuml-cu12 jupyterlab && jupyter lab --ip=0.0.0.0 # Ana tafiyar da shi a kan NVIDIA Tesla P40 (24GB) A'aha! _
GPU-speeded data science na amfani da NVIDIA RAPIDS don tafiyar da pandas, scikit-learn, da sauran kayan aikin bayanai kai tsaye a kan GPU. Yi amfani da bayanan bayanai da zasu dauki sa'o'i a kan CPU cikin mintina.
cuDF (GPU pandas), cuML (GPU scikit-learn), cuGraph (GPU NetworkX).
JupyterLab da aka tsara a baya tare da goyon bayan GPU.
24GB GPU ajiya ga cikin-rumbun ajiya bayanai sarrafawa.
GPU-da aka gaggauta gani tare da cuXfilter da Plotly.
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.
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.
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.
GPU VPS plans are billed monthly with no lock-in contracts and can be cancelled anytime. Contact us for current GPU pricing tiers.
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.
Yes. Full root SSH on every GPU VPS — install drivers, swap CUDA versions, customize the environment for Data Science however you need.
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.
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.
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.
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.
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.
Yes — 30-day money-back guarantee on every plan including GPU. Try Data Science on a GPU VPS risk-free.
Yi amfani da mai ba da sabis na NVIDIA GPU a cikin minti. Babu ajiya, babu kiran sayarwa.