neocloud · vm · Layer 2.5
Vultr
Teams that want a GPU near their users rather than near Virginia, and anyone who needs a fraction of a GPU.
medium portability Movable with effort. Expect to redo images, storage wiring and networking.
What you are buying
- Business model
- Purpose-built GPU cloud. Owns or leases its own datacentre capacity and sells it directly.
- How you reach it
- You get virtual machines. The familiar cloud model.
- Accelerators
- H100, H200, A100, L40S, MI300X, plus fractional GPUs
- Regions
- Global, 30+ locations
- Pricing model
- Hourly on-demand, published openly. Fractional GPU options are unusual and useful.
- Getting started
- Credit card.
- Capacity
- Generally available; broad geographic spread is the differentiator.
- Ownership
- Private, long-established as a general cloud before GPUs.
Verified 2026-09-09. Fields reading “not published” are exactly that — we do not estimate a figure a vendor withholds.
The counterparty
Lower than the pure-play neoclouds — the GPU business sits on top of a profitable general hosting business rather than being the whole company.
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
Not the cheapest and not the biggest. It wins on geography and on fractional sizes, which are the two things bigger providers handle badly.
The economics
Fractional GPU pricing makes small inference workloads viable that would be absurd on a whole H100.
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
- Vultr vs Civo — Geographic spread against Kubernetes simplicity.Compare with Civo
Related providers
- Crusoe — neocloud, medium portability
- DataCrunch — neocloud, medium portability
- Genesis Cloud — neocloud, medium portability
- Hyperstack (NexGen Cloud) — neocloud, medium portability
- Lambda — neocloud, medium portability
- Nebius — neocloud, medium portability