Train and deploy deep learning models with PyTorch on dedicated NVIDIA GPUs. Pre-configured CUDA environment with full root access.
$ pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu124 # Running on NVIDIA Tesla P40 (24GB) Ready. _
PyTorch is the leading deep learning framework used by researchers and engineers worldwide. A GPU VPS gives you dedicated NVIDIA hardware to train models faster and run inference at scale.
Pre-configured NVIDIA drivers and CUDA toolkit. Start training immediately.
24GB VRAM for training larger models and bigger batch sizes.
Run Jupyter notebooks with GPU support for interactive development.
Scale to multi-GPU setups for faster training on large datasets.
PyTorch is the leading deep learning framework used by researchers and engineers worldwide. A GPU VPS gives you dedicated NVIDIA hardware to train models faster and run inference at scale.
Deploy a GPU VPS with NVIDIA Tesla P40, SSH into your server, and run: pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu124. Your PyTorch 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 PyTorch 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 PyTorch, 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.