GPU & AI
How to rent a GPU server (H100 / 4090) with crypto
Renting a modern GPU usually means a cloud account in your name and a card on file. Most no-KYC hosts, meanwhile, only offer GPUs that are years out of date. This guide covers how to rent current-generation silicon — RTX 4090, RTX 5090, A100 80GB and H100 — privately, paid from a crypto balance and billed by the hour.
Getting a GPU box running
- 01Fund your balanceTop up with Bitcoin, Monero or another coin. No KYC, no card.
- 02Choose your GPUPick a plan by card — from an RTX A4000 up to an H100 80GB. You get the whole GPU, not a slice.
- 03Select a CUDA imageStart from a CUDA-ready image with recent PyTorch and TensorFlow, or a bare OS for your own stack.
- 04Deploy and connectYour box is ready in minutes. SSH in, pull your model or dataset, and go.
Whole GPUs, not fractional slices
Some providers carve one physical card into MIG slices or time-share it between users, which quietly caps your throughput. Here you get the entire physical GPU and all of its VRAM — so an H100's full 80GB is yours, and training or inference runs at full speed.
Because billing is hourly from your balance, you can spin up an H100 for an afternoon of fine-tuning, save the checkpoint, and destroy the box — paying only for the hours it ran.
What people run on them
- LLM inference and serving on A100/H100 with enough VRAM to fit the model
- Fine-tuning and training runs on 4090/5090
- Rendering, simulation and CUDA/OptiX workloads
- Batch research jobs with no cloud account in your name
Ready to try it?Deploy GPU Servers from $89/mo — no KYC, paid in crypto.
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