$ nvidia-smi
GPU VPS
We are opening a GPU section on 1VPS — hourly and monthly GPU servers for LLM inference, fine-tuning, diffusion models, and rendering. It is empty on purpose: we are looking for affiliate partners to fill it, and we would rather say so than publish a list we have not tested.
// why a gpu section
1VPS exists because picking a server is a comparison problem, and for the last year the comparison our readers ask for has stopped being "4 GB or 8 GB of RAM" and started being "how much VRAM does this model need and who rents it cheapest". A CPU VPS answers none of that. These are the workloads driving it:
| Workload | Typical need | Why it matters |
|---|---|---|
| LLM inference | 24-80 GB VRAM | Serving Llama, Qwen, or Mistral behind vLLM or Ollama — the single most-asked question we get that a CPU VPS cannot answer. |
| Fine-tuning & LoRA | 40-80 GB VRAM | Hourly A100 / H100 capacity, billed by the minute, with fast NVMe for checkpoints and datasets. |
| Image & video generation | 16-48 GB VRAM | ComfyUI, Stable Diffusion, and Flux pipelines that people want running on their own box, not an API. |
| Rendering & transcoding | 8-24 GB VRAM | Blender farms and NVENC transcoding for self-hosted media stacks — steady, unglamorous, always-on load. |
// who we are looking for
We are after GPU hosting providers — GPU VPS, bare-metal GPU, and GPU cloud — that run an affiliate or referral program. This call is for GPU capacity only; our CPU VPS partnerships are already in place and are not part of it.
Real GPU instances, self-serve
Dedicated or sliced GPUs a developer can provision with a card and an API call. Consumer cards (RTX 4090/5090) count as much as datacenter silicon — our readers buy both.
A public affiliate or referral program
Recurring revenue share, a first-order bounty, or a hybrid. We need a tracked link, a cookie window we can disclose, and a dashboard we can reconcile against.
Published, per-hour pricing
A page we can scrape or an endpoint we can call. If pricing is quote-only, we cannot list you — the whole site is built on comparable numbers.
Specs we can verify
GPU model, VRAM, vCPU, RAM, NVMe, egress policy, and region list. We benchmark what we publish, so we will want a trial instance.
// what a partner gets
The GPU section, from launch
Directory placement, a full hands-on review, and inclusion in the comparison tables we build for this category as it fills out.
Machine-readable distribution
Every listed provider is served through our public JSON API, OpenAPI spec, MCP server, and A2A endpoint — so agents answering "where do I rent an H100" can cite you, not just humans.
Buyer-intent traffic
Our readers are developers and self-hosters comparing hosts with a workload already in hand. They arrive at the bottom of the funnel, not the top.
Honest placement
Ratings are not for sale. Commission decides nothing about ranking or verdict, and every affiliate link is disclosed. That is why the recommendations convert.
// how to reach us
One email is enough. Send it to [email protected] with the subject GPU VPS affiliate partnership and include the five things on the right. We reply to every serious pitch within 48 hours, and we will tell you plainly if we do not think the fit is there.
Already run a GPU affiliate program through a network? Say which one — if we are not in it yet, we will apply. Not a host but building something GPU-adjacent our readers should know about? Use the same address, we read those too.
BOXBILLING UAB, company code 302788919, K. Donelaičio g. 62-213, Kaunas, LT. Contract and invoicing questions go to [email protected].
- -Company name, site, and the regions you run GPUs in
- -GPU models available and price per hour and per month
- -Affiliate program: network or in-house, rate, cookie window, payout terms
- -Whether pricing and stock are available over an API
- -A trial or test credit so we can benchmark before writing
// until then
No GPU host is listed on 1VPS yet, and we will not pretend otherwise. If your workload fits on CPU — inference on small models, a vector database, the app around the model — these are the pages that already answer it.