Layer 2.5 · head to head
Nscale vs DataCrunch
Nordic power economics at two very different scales.
| Nscale | DataCrunch | |
|---|---|---|
| Can you leave | Portable. The workload is standard enough to move to another vendor without a rewrite. | Movable with effort. Expect to redo images, storage wiring and networking. |
| Counterparty | Private and young. Diligence accordingly. | Small European provider. |
| What it is | Purpose-built GPU cloud. Owns or leases its own datacentre capacity and sells it directly. | Purpose-built GPU cloud. Owns or leases its own datacentre capacity and sells it directly. |
| How you reach it | You get a cluster. Assumes you already run Kubernetes at scale. | You get virtual machines. The familiar cloud model. |
| Accelerators | H100, H200, B200, MI300X | H100, H200, B200, A100, V100 |
| Regions | Norway, UK, EU | Finland, Iceland |
| Pricing model | On-demand and reserved. | Hourly and fixed-term contracts, published. |
| Getting started | Sales-led with self-serve options. | Self-serve. |
| Capacity | Nordic hydro-powered sites are the anchor. | Small but real; renewable-powered Nordic sites. |
| Ownership | Private. | Private. |
Nscale
For: European AI workloads with a sustainability requirement written into procurement.
The catch: Nordic siting means excellent power economics and real latency to anywhere that is not Northern Europe.
Economics: Hydro power and free cooling are a structural cost advantage, not a marketing line. It shows up in reserved pricing.
DataCrunch
For: European teams wanting low-cost datacentre GPUs with a clean power story.
The catch: Two-region footprint. Latency and redundancy are what you trade for the price.
Economics: Among the cheaper genuine-datacentre options in Europe.
Neither table row is a price
Deliberately. Published on-demand rates at this layer move weekly, and essentially nobody signing a real contract pays them — every serious buyer pays less than every list figure either of these companies publishes. Quoting one here would date this page within a month.
The GPU cost calculator carries dated, sourced figures instead, and the durable finding there is the spread: the identical H100 rents from $1.99 to $11.06 an hour on published on-demand prices, depending only on who you rent it from.
The layers underneath both
Whichever you pick is renting you chips in a building that needs power. In 2026 that is the constraint that binds: Microsoft has disclosed an Azure backlog it cannot fill for want of megawatts rather than accelerators, and the US interconnection queue exceeds 2,600 GW with roughly 80% of projects withdrawing before they energise.
Layer 2 — Silicon · Layer 1 — Energy · The interconnection queue