Rent a Dedicated GPU Server — RTX 4090 & 5090 in the EU
Rent a dedicated RTX 4090 or RTX 5090 server in our Frankfurt data center — single-tenant, at a fixed monthly price, with no hourly billing and no preemption . GDPR-compliant, EU-hosted, backed by human support.
Request a GPU serverMost GPU offers on the market bill by the hour or minute and run as preemptible spot instances — cheap on paper, but unpredictable for budgets and risky for long training jobs. Bthorio takes the opposite approach: you get a whole GPU dedicated to you, for a fixed monthly price, in the EU. No sharing, no interrupted runs, no bill that surprises you at month end.
GPU servers compared
The honest comparison: where Bthorio wins — and where hourly cloud GPUs or hyperscalers still make sense.
| Feature | Bthorio | Hourly cloud GPU | Hetzner GPU | Hyperscaler (AWS/GCP) |
|---|---|---|---|---|
| Billing | Fixed monthly | Per hour / minute | Monthly | Per hour |
| Preemption | Never | Common (spot) | No | On spot instances |
| GPU allocation | Dedicated, single-tenant | Often shared / vGPU | Dedicated | Shared or dedicated |
| Current models | RTX 4090 & 5090 | Varies | Older datacenter GPU | A100/H100 (expensive) |
| Location | Frankfurt, DE | Mostly US | Germany/Finland | Global |
| Data privacy | GDPR, EU residency | Often US CLOUD Act | GDPR | Varies |
| Support | 24/7 engineers | Ticket / community | Ticket | Enterprise (paid) |
Which GPU server fits your workload?
For most LLM inference, fine-tuning and rendering tasks the RTX 4090 with 24 GB VRAM (from €399/month) is plenty. If you need larger models, more VRAM or the Blackwell generation, choose the RTX 5090 with 32 GB VRAM . For AI/LLM deployments specifically we have a focused GPU server for AI page with guidance.
- LLM inference & self-hosting (Ollama, vLLM, TGI): a dedicated GPU instead of shared cloud — no cold start, no preemption.
- Fine-tuning smaller models & LoRA training: predictable budget instead of hourly roulette.
- Stable Diffusion / ComfyUI / Flux: a full GPU for image and video generation.
- Rendering, video encoding, scientific computing: CUDA and Tensor Core acceleration without shared resources.
What every GPU server includes
- A whole RTX 4090 (24 GB) or RTX 5090 (32 GB) — dedicated, not shared
- 128 GB DDR4 (4090) or 96 GB DDR5 (5090) system memory
- 4 TB local NVMe for datasets and checkpoints
- 1 Gbit uplink with fair-use traffic
- Frankfurt am Main, carbon-neutral data center
- Root access, free choice of OS, drivers & CUDA version