About Intelaris

Intelaris builds the platform where companies find and compare AI compute and request capacity.

Lake Thun seen from the Swiss Alps

Mission

Compute is becoming a market like electricity: many suppliers, prices that change daily, and buyers who need to know where their data is processed. Our mission is to make this market transparent and easy to trade, starting with an honest, sourced price for every GPU.

In figures

As of Oct 25, 2026, from the price data. Method on the price page.

Providers listed
44
Offers with source and date
1,690
GPU models
33
Countries
28

European-owned providers: 24

Vision

Today, buying GPU capacity means one account, one contract and one price list per provider. Intelaris is building the layer that brings them together: first a public price index, then capacity requests, then booking through one account, and later a market where unused capacity can be resold. We start in Europe, where data location matters most, and build for every region.

  1. 0Price indexTodayPublic prices, locations and ownership of GPU offers.
  2. 1Capacity requestsCompany accounts and requests for defined capacity.
  3. 2BookingBooking and invoicing through one account, with provider agreements.
  4. 3Large clustersBrokering of reserved clusters for months.
  5. 4MarketResale of unused capacity between buyers and providers.

Founder

Intelaris was founded in Switzerland by David Tadorian. Comparing GPU offers meant opening dozens of price pages, converting currencies and guessing where each machine runs. Prices for the same GPU differed several times over between providers, and few pages said who owns the provider.

Intelaris started as a dataset that answers these questions and is growing into a platform. David builds it as a solo founder and documents progress in a public changelog.

Why now

Dozens of GPU clouds now compete with the hyperscalers, so prices and availability differ widely. A new GPU generation arrives every year, so price lists age fast. And rules on data location and AI are tightening, so where compute runs has become a purchasing criterion.

Company

Founder
David Tadorian
Seat
Ipsach, Switzerland
Focus
AI compute: capacity, prices, data location

Principles

  • Evidence

    Every price and figure carries its source and date.

  • Neutrality

    Providers are named. Offers are ordered by price and terms.

  • Location

    Every offer shows where it runs and who owns the provider.