neocloud · vm · Layer 2.5
Paperspace (DigitalOcean)
Notebook-first workflows and teams already on DigitalOcean.
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, A100, A6000, RTX 4000
- Regions
- US, EU
- Pricing model
- Hourly on-demand plus subscription tiers.
- Getting started
- Credit card.
- Capacity
- Moderate; newest parts are limited.
- Ownership
- Acquired by DigitalOcean.
Verified 2026-09-09. Fields reading “not published” are exactly that — we do not estimate a figure a vendor withholds.
The counterparty
Backed by a public parent, which is a genuine difference from the private pure-plays.
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
The acquisition has meant a long, slow product convergence. Check which console you are actually buying in.
The economics
Mid-market pricing. The notebook product is the reason to be here, not the GPU rate.
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 rental price index, where the spread between the cheapest and dearest seller of the identical chip runs to roughly 9x.
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
- Paperspace (DigitalOcean) vs JarvisLabs — Notebook-first workflows at two very different scales.Compare with JarvisLabs
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