Renting GPUs from a hyperscaler means an identity check, a card on file, and a bill that grows with every hour the card sits idle. We rent the whole machine instead: dedicated GPU hardware, a flat monthly price, no KYC, and payment in crypto.
What the hardware looks like
- NVIDIA RTX 4090, or L4 and L40S cards with 24 GB and 48 GB of VRAM
- Dual AMD EPYC CPUs, 32 cores, with 64 GB to 256 GB of RAM
- NVMe storage, with 10 Gbps to 25 Gbps uplinks
- 100 TB of bandwidth, which matters when you are moving datasets and weights
Why rent bare metal for this
The GPU is yours for the month
No shared scheduler, no preemption, no queue. The card is attached to your machine and idle time costs you nothing extra, which is usually cheaper than per-hour cloud GPU once a workload runs regularly.
Your data and your weights stay put
Training data, fine-tuned models and prompts live on hardware you rent directly, not in a platform that reserves the right to inspect or retain them.
Order it the same way as everything else
No KYC, no email required, and payment in Bitcoin, Monero, USDT or TRX. See no-KYC hosting.
A GPU box runs Ollama and Open WebUI properly rather than slowly, which is the difference between a demo and something your team uses daily. Inference on CPU works; inference on an L40S is a different product.
VRAM is the constraint that decides whether a model runs at all. A 24 GB card and a 48 GB card are different classes of machine, and quantisation only buys so much. Tell us the models you intend to serve and we will point at the right configuration rather than the biggest one.
GPU stock is the least predictable part of our range. Ask us what is currently free before you plan a launch date around a specific card.
Start now
Browse offshore dedicated servers or ask us which GPU configuration fits your workload.