Layer 2.5 · head to head
Prime Intellect vs CUDO Compute
Two aggregators, and the question both make harder to answer: whose datacentre is this?
| Prime Intellect | CUDO Compute | |
|---|---|---|
| Can you leave | Movable with effort. Expect to redo images, storage wiring and networking. | Movable with effort. Expect to redo images, storage wiring and networking. |
| Counterparty | One contract, many underlying suppliers. Convenient, and it obscures who actually holds your data. | You are one layer removed from whoever owns the metal. Ask who that is. |
| What it is | Sells access across other people's clouds through one contract and one API. | Brokers capacity somebody else owns. Cheapest headline rates, and the machine you get is not the machine you chose. |
| How you reach it | You get virtual machines. The familiar cloud model. | You get virtual machines. The familiar cloud model. |
| Accelerators | Aggregated H100, A100 and others across providers | H100, A100, V100, consumer parts |
| Regions | Multi-provider | Global, distributed supply |
| Pricing model | Aggregated marketplace across other clouds. | On-demand and committed, aggregated from multiple suppliers. |
| Getting started | Self-serve. | Self-serve. |
| Capacity | Whatever its suppliers have. | Aggregated, therefore variable. |
| Ownership | Private. | Private. |
Prime Intellect
For: Researchers hunting the cheapest available cluster without opening ten accounts.
The catch: An aggregator's price advantage disappears the moment you need a guarantee it cannot make on its suppliers' behalf.
Economics: Genuinely useful for price discovery even if you end up buying direct.
CUDO Compute
For: Buyers who want marketplace pricing with a single commercial relationship.
The catch: Aggregation abstracts away the thing you most need to know for compliance: whose datacentre this actually is.
Economics: Competitive because it arbitrages underused capacity.
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