GPU Cloud Computing. Rent NVIDIA GPUs Instantly
Deploy NVIDIA RTX 6000 Ada, RTX 4000 Ada and L4 GPUs on demand. Pay monthly, scale anytime, deploy in minutes. Hosted in certified German data centers.
Why Rent GPUs from ComputeBox
Current NVIDIA Hardware
RTX 6000 Ada, RTX 4000 Ada and L4. Professional Ada-generation GPUs.
Flat Monthly Pricing
No per-second billing surprises. Predictable monthly rates with multi-month discounts.
GDPR-Compliant Hosting
Certified high-security data centers in Germany. Full GDPR compliance built in.
Deploy in Minutes
Automated provisioning with cloud-init, custom images, and full SSH and API access.
Full Root Access
Run any framework, OS or workload. PyTorch, TensorFlow, Blender, Stable Diffusion.
Premium Network
High-speed connectivity with direct peering. Traffic included, no surprise bills.
What's Included
- Dedicated NVIDIA GPU(s) with full VRAM access
- vCPU cores and RAM scaled per GPU
- NVMe SSD storage included
- 1× IPv4 + /64 IPv6 included
- Snapshots and backup slots available
Available GPU Models
| NVIDIA RTX 6000 Ada | 48 GB GDDR6, 18,176 CUDA cores |
| NVIDIA RTX 4000 Ada | 20 GB GDDR6, 6,144 CUDA cores |
| NVIDIA L4 |
Rent GPU Now
Plans start at €119.99 per month. Multi-month contracts unlock additional discounts.
Frequently Asked Questions
Can I run AI training and inference workloads?+
Yes. All GPUs come with full CUDA support and root access. Install your preferred NVIDIA driver version, then run PyTorch, TensorFlow, JAX, vLLM or any other framework.
How fast is provisioning?+
Most instances are deployed within 2 to 5 minutes after order confirmation. You receive SSH credentials by email and can also access via web console.
Can I rent multiple GPUs in one server?+
Yes. Multi-GPU configurations (2x, 4x, 8x) are available for all GPU models. Useful for distributed training.
Is the hardware shared or dedicated?+
GPUs are dedicated. No sharing, no time-slicing. You get the full VRAM and full compute capacity.