AI & GPU Servers
Rent dedicated GPU machines with CUDA, PyTorch and TensorFlow ready to go. Fine-tune models, serve open-source LLMs or render video without buying hardware.
Example configurations. Stock and prices change often, so request a quote for current availability.
AI infrastructure
Train and fine-tune models on dedicated GPUs with no noisy neighbours.
Serve Llama, Mistral or Qwen privately with vLLM or Ollama.
Run Stable Diffusion, ComfyUI and video rendering pipelines.
Jupyter, RAPIDS and large in-memory datasets.
FAQ
No. GPU servers are dedicated machines. The GPUs are yours alone for the whole contract.
Ubuntu with NVIDIA drivers, CUDA, cuDNN, Docker, PyTorch and TensorFlow. You have root access to add anything else.
In-stock configurations are usually ready within 24 to 72 hours. Large H100 builds depend on availability.
Share your model size and budget, and we will suggest the right GPU setup.