Train deep learning models with dedicated NVIDIA GPU hardware. From fine-tuning LLMs to training computer vision models from scratch.
$ pip install torch transformers datasets accelerate && python train.py # Running on NVIDIA Tesla P40 (24GB) Ready. _
Training AI models requires massive parallel compute that GPUs provide. A GPU training server gives you dedicated NVIDIA hardware to train models without competing for resources.
Full Tesla P40 GPU with 24GB VRAM. No shared or throttled resources.
PyTorch, TensorFlow, JAX, or any CUDA-compatible framework.
SSD storage for datasets, checkpoints, and model artifacts.
Full root access. Configure your training environment exactly how you need it.
Training AI models requires massive parallel compute that GPUs provide. A GPU training server gives you dedicated NVIDIA hardware to train models without competing for resources.
Deploy a GPU VPS with NVIDIA Tesla P40, SSH into your server, and run: pip install torch transformers datasets accelerate && python train.py. Your AI Training 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 AI Training 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 AI Training, 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.