GPU-အရှိန်မြှင့်ဒေတာသိပ္ပံ tools များဖြင့် 10-100x ပိုမိုမြန်ဆန်စွာ ကြီးမားသော dataset များကို စီမံခန့်ခွဲနိုင်သည်။
$ pip install cudf-cu12 cuml-cu12 jupyterlab && jupyter lab --ip=0.0.0.0 # NVIDIA Tegra P40 (24GB) အပေါ် Running အဆင်သင့် _
GPU-အရှိန်မြှင့်ဒေတာသိပ္ပံသည် pandas, scikit-learn နှင့်အခြားဒေတာ tools များကို GPU ပေါ်တွင်တိုက်ရိုက် run ရန် NVIDIA RAPIDS ကိုအသုံးပြုသည်။ CPU တွင်မိနစ်အနည်းငယ်အတွင်းနာရီများစွာကြာမည်ဖြစ်သော data sets များကိုစီမံခန့်ခွဲသည်။
cuDF (GPU ပန်ဒါ), cuML (GPU scikit-သင်ယူ), cuGraph (GPU NetworkX).
GPU ထောက်ခံမှုနှင့်အတူ pre-configured JupyterLab ။
24GB GPU မှတ်ဉာဏ်ကို in-မှတ်ဉာဏ်ဒေတာစီမံခန့်ခွဲမှုများအတွက်။
cuXfilter နှင့် Plotly နှင့်အတူ GPU-အရှိန်မြှင့်မြင်ကွင်း။
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.
မိနစ်အနည်းငယ်အတွင်းအထူး NVIDIA GPU ဆာဗာတစ်ခုကို ဖြန့်ချိပါ။ မည်သည့်နေရာတွင်မဆို၊ မည်သည့်ရောင်းချမှုခေါ်ဆိုမှုမှမပါဘဲ။