Run Jupyter notebooks with dedicated NVIDIA GPU support. Interactive data science and ML development with CUDA acceleration.
$ pip install jupyterlab torch && jupyter lab --ip=0.0.0.0 --allow-root # Running on NVIDIA Tesla P40 (24GB) Ready. _
Jupyter notebooks on a GPU VPS give you an interactive development environment with dedicated NVIDIA GPU hardware. Perfect for data science, ML experimentation, and model prototyping.
Access CUDA GPUs directly from notebook cells. Train models interactively.
Full JupyterLab IDE with terminal, file browser, and extensions.
PyTorch, TensorFlow, scikit-learn, pandas, and more ready to use.
Access your notebooks from any browser, anywhere.
Jupyter notebooks on a GPU VPS give you an interactive development environment with dedicated NVIDIA GPU hardware. Perfect for data science, ML experimentation, and model prototyping.
Deploy a GPU VPS with NVIDIA Tesla P40, SSH into your server, and run: pip install jupyterlab torch && jupyter lab --ip=0.0.0.0 --allow-root. Your Jupyter environment will be ready in minutes with full GPU acceleration.
Our GPU VPS comes with 24GB GDDR5X VRAM on the NVIDIA Tesla P40, which is sufficient for most Jupyter workloads. For larger requirements, contact us for multi-GPU configurations.
GPU VPS is billed monthly with no lock-in contracts. You can cancel anytime. Contact us for current pricing as we finalize our GPU tier offerings.
Yes, you have full root access. Install any combination of tools alongside Jupyter, as long as they fit within the 24GB VRAM and server resources.
Yes, all GPU VPS instances come with full root SSH access. Install any software, configure drivers, and customize the environment exactly as you need.
Deploy a dedicated NVIDIA GPU server in minutes. No reservations, no sales calls.