Layer 2.5 · head to head
Paperspace (DigitalOcean) vs JarvisLabs
Notebook-first workflows at two very different scales.
| Paperspace (DigitalOcean) | JarvisLabs | |
|---|---|---|
| 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 | Backed by a public parent, which is a genuine difference from the private pure-plays. | Small provider. |
| What it is | Purpose-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 it | You get virtual machines. The familiar cloud model. | You push a container image and it runs. No cluster to operate. |
| Accelerators | H100, A100, A6000, RTX 4000 | A100, H100, RTX 6000 Ada, A6000 |
| Regions | US, EU | India, US |
| Pricing model | Hourly on-demand plus subscription tiers. | Hourly, pause-and-resume billing. |
| Getting started | Credit card. | Very low. |
| Capacity | Moderate; newest parts are limited. | Small. |
| Ownership | Acquired by DigitalOcean. | Private. |
Paperspace (DigitalOcean)
For: Notebook-first workflows and teams already on DigitalOcean.
The catch: The acquisition has meant a long, slow product convergence. Check which console you are actually buying in.
Economics: Mid-market pricing. The notebook product is the reason to be here, not the GPU rate.
JarvisLabs
For: Individual researchers and small teams, particularly in India.
The catch: Small scale. Fine for one machine, not for a cluster.
Economics: Pause-and-resume is the useful feature — you stop paying without losing the environment.
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