ရည်ရွယ်ချက်ရှိရှိ NVIDIA GPU ကိုထောက်ခံမှုနှင့်အတူ Jupyter မှတ်စုစာအုပ်များ Run. CUDA အရှိန်မြှင့်နှင့်အတူအပြန်အလှန်အချက်အလက်များ၏သိပ္ပံနှင့် ML ဖွံ့ဖြိုးတိုးတက်မှု.
$ pip install jupyterlab torch && jupyter lab --ip=0.0.0.0 --allow-root # NVIDIA Tegra P40 (24GB) အပေါ် Running အဆင်သင့် _
Jupyter notebooks on a GPU VPS give you an interactive development environment with dedicated NVIDIA GPU hardware. အချက်အလက်များ၏သိပ္ပံ, ML စမ်းသပ်မှုနှင့်မော်ဒယ် prototyping အတွက်အပြည့်အဝ။
Notebook ဆဲလ်များမှ CUDA GPUs ကိုတိုက်ရိုက်ဝင်ရောက်နိုင်သည်။
terminal, file browser နှင့် extensions များနှင့်အတူပြည့်စုံသော JupyterLab IDE ။
PyTorch, TensorFlow, scikit-learn, pandas, နှင့်အသုံးပြုရန်ပိုပြီးအဆင်သင့်ဖြစ်ကြသည်။
မည်သည့်ဘရောက်ဆာမှမဆို၊ နေရာတိုင်းတွင်သင့်မှတ်စုများကိုဝင်ရောက်နိုင်သည်။
Jupyter on a GPU VPS is a CUDA-accelerated deployment. Jupyter is a general GPU-accelerated workload. Make sure your software has CUDA support and that your driver / runtime versions match the workload requirements for Jupyter.
Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run pip install jupyterlab torch && jupyter lab --ip=0.0.0.0 --allow-root. Your Jupyter 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 Jupyter 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 Jupyter.
Yes. Full root SSH on every GPU VPS — install drivers, swap CUDA versions, customize the environment for Jupyter 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 Jupyter workload.
Yes — your Jupyter 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 Jupyter 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 Jupyter install carries over.
Yes. Automated daily backups are an add-on; manual snapshots are free. Useful for long Jupyter training runs where you want a checkpointable server state.
Yes — 30-day money-back guarantee on every plan including GPU. Try Jupyter on a GPU VPS risk-free.
မိနစ်အနည်းငယ်အတွင်းအထူး NVIDIA GPU ဆာဗာတစ်ခုကို ဖြန့်ချိပါ။ မည်သည့်နေရာတွင်မဆို၊ မည်သည့်ရောင်းချမှုခေါ်ဆိုမှုမှမပါဘဲ။