Obsidian Peaks
Rent

Why Obsidian takes you higher than Berget

Berget AI sells a per-token API; we rent you the GPU. Per token suits small or bursty volume; a GPU of your own suits steady volume, isolation, custom stacks and fine-tuning. The table, the break-even and the questions below say where the line goes.

Side by side

Six differences.

Berget AI sells a per-token API; we rent you the GPU.

Per-token API vs your own GPU
Per-token API vs your own GPUPer-token APIYour own GPU
What you buyTokensThe GPU
Who else runs on the hardwareA shared poolNobody during your term
ModelsTheir shelfAny
AccessAPI onlyRoot + API on your box
PricingPer token, prepaid plan requiredPer minute, published
When it winsSmall or bursty volumeSteady volume, isolation, custom stacks, fine-tuning

When each wins

Pick by volume and control.

A per-token API wins when

  • Volume is small or bursty: you pay per token and run nothing.
  • A model on its shelf is exactly what you need.
  • You want no ops: nothing to keep alive, nothing to configure.

Your own GPU wins when

  • Volume is steady: above the break-even, tokens cost more than the machine.
  • You need any model: Hugging Face or our mirror, fine-tuned or not.
  • Isolation matters: nobody else on the hardware during your term.
  • You run a custom stack: your vLLM settings, embeddings and speech on one box.
  • You want root access and a fixed monthly price to budget.

Break-even

Where the line goes.

One dedicated 5090 at 8 000 SEK/month costs about the same as 1.5 billion output tokens at a typical Swedish per-token API’s list price. Below that, tokens are cheaper. Above it, or when you need isolation, a custom stack or fine-tuning, the GPU wins.

List price used: €0.50 per million output tokens, the published price of a 31B open model at a Swedish per-token API on 23 Sep 2026; 8 000 SEK/month converted at about 11 SEK per euro. Ex VAT.

Questions

Questions and answers.

What is the difference between a per-token API and renting a GPU?
With a per-token API you buy output tokens from a shared pool of hardware running the provider’s shelf of models. With us you rent the GPU itself: nobody else runs on it during your term, you run any model, and you have root access and an API endpoint on your own box.
When is a per-token API the better choice?
Small or bursty volume, a model that is on its shelf, and no need for isolation: you pay only for the tokens you use and run nothing yourself.
When does renting the GPU win?
Steady volume, a model that is not on the API’s shelf, fine-tuning, a custom stack, or when isolation matters: one machine, one customer, during your term.
Where is the break-even?
One dedicated 5090 at 8 000 SEK/month costs about the same as 1.5 billion output tokens at a typical Swedish per-token API’s list price (€0.50 per million output tokens on 23 Sep 2026). Below that, tokens are cheaper; above it, the GPU is.
Can I get an OpenAI-compatible API from a rented GPU?
Yes. The dedicated inference box serves the model you pick on an OpenAI-compatible endpoint (vLLM) behind your own key, so anything that speaks the OpenAI API can point at your box.
How do I pay, and can I stop?
On demand: a prepaid balance billed by the minute, the price locked 7 days at a time; stop whenever you like, and unused balance is refunded on request. Dedicated: a monthly price under a signed agreement, monthly or on a 12-month term.
Is my data in Sweden?
Yes. The hardware is ours and it is in Sweden; the contract, the invoice and the support come from Obsidian Peaks Technologies AB under Swedish law; we do not move your data out of the EU/EEA.

Rent the GPU.

By the hour today, by the month when you are ready.