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How we rank & score

Layer 2.5 · head to head

Nebius vs Nscale

Two European builds, one public and one private, both selling sovereignty.

NebiusNscale
Can you leaveMovable with effort. Expect to redo images, storage wiring and networking.Portable. The workload is standard enough to move to another vendor without a rewrite.
CounterpartyOne of the few at this layer you can actually diligence — quarterly results are public. Revenue grew roughly 4.5x year-over-year in Q2 2026 off a small base. Same 2026-2028 GPU-debt maturity picture as its peers.Private and young. Diligence accordingly.
What it isPurpose-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 itYou get virtual machines. The familiar cloud model.You get a cluster. Assumes you already run Kubernetes at scale.
AcceleratorsH100, H200, B200, L40SH100, H200, B200, MI300X
RegionsEU (Finland), USNorway, UK, EU
Pricing modelOn-demand and reserved, published openly.On-demand and reserved.
Getting startedSelf-serve on-demand.Sales-led with self-serve options.
CapacityExpanding hard; Finland datacentre is the anchor.Nordic hydro-powered sites are the anchor.
OwnershipPublic, files with the SEC as a foreign private issuer.Private.

Nebius

For: European workloads where data residency matters, and anyone who wants a supplier whose numbers they can read before signing.

The catch: Smaller footprint than CoreWeave, and the European centre of gravity is a feature or a latency problem depending entirely on where your users are.

Economics: Published pricing sits below CoreWeave's list on comparable parts. Publishing at all is a differentiator at this layer.

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.

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 rental price index carries dated, sourced figures instead, and the durable finding there is the spread: the identical H100 rents from roughly $1.38 to $12.29 an hour 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

Verified 2026-09-09. We do not benchmark clusters and take no position paid for by either company. Where a provider here runs a referral programme it has not moved its placement — the comparison was written before any link was attached.

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