marketplace · vm · Layer 2.5
CUDO Compute
Buyers who want marketplace pricing with a single commercial relationship.
medium portability Movable with effort. Expect to redo images, storage wiring and networking.
What you are buying
- Business model
- 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.
- Accelerators
- H100, A100, V100, consumer parts
- Regions
- Global, distributed supply
- Pricing model
- On-demand and committed, aggregated from multiple suppliers.
- Getting started
- Self-serve.
- Capacity
- Aggregated, therefore variable.
- Ownership
- Private.
Verified 2026-09-09. Fields reading “not published” are exactly that — we do not estimate a figure a vendor withholds.
The counterparty
You are one layer removed from whoever owns the metal. Ask who that is.
A multi-year GPU commitment is a credit decision wearing a cloud contract. This is the section no benchmark covers and the one that decides what happens to your workload in 2028.
The catch
Aggregation abstracts away the thing you most need to know for compliance: whose datacentre this actually is.
The economics
Competitive because it arbitrages underused capacity.
No rate is quoted on this page on purpose. Published list prices at this layer move weekly and essentially nobody signing a real contract pays them. Dated, sourced figures live in the GPU cost calculator, where the cheapest and dearest published on-demand price for the identical H100 sit 5.6× apart.
The layers underneath this one
Whatever you rent here is a chip in a building that needs power. In 2026 megawatts, not silicon, are the binding constraint on the whole industry — a frontier rack draws 120–200 kW against a 2026 average near 27 kW, and the US interconnection queue exceeds 2,600 GW.
Layer 2 — Silicon · Layer 1 — Energy · The interconnection queue · Tokens per watt
Compared against
- Prime Intellect vs CUDO Compute — Two aggregators, and the question both make harder to answer: whose datacentre is this?Compare with Prime Intellect
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