Paperspace alternatives in 2026: 6 GPU clouds compared

If you are searching for a Paperspace alternative, you have probably noticed the change: Paperspace is now part of DigitalOcean, its core products still run, and new users are encouraged to sign up through DigitalOcean instead. It is a good moment to ask what your workload actually needs. If your GPUs run most of the month, a dedicated server at a flat monthly price can be simpler than usage billing. This page compares the options as of October 2026.

Paperspace and DigitalOcean today

DigitalOcean folded the Paperspace brand into its own in 2024. According to DigitalOcean, core Paperspace products are still available, and new users are encouraged to sign up through DigitalOcean to access its GPU and AI products. For new GPU capacity, the main option there is GPU Droplets: virtual machines with one or eight GPUs, billed per second with a minimum billing period. DigitalOcean also offers 12-month reserved contracts, spot plans and contract-only Bare Metal GPUs with eight GPUs per server.

Why teams look for a Paperspace alternative

Usage billing suits notebooks and short experiments. It fits less well when a model serves traffic all day or a fine-tuning queue never empties, because the bill then tracks hours you would pay for anyway. A few details also matter at that stage:

• GPU Droplets keep billing while they are powered off, until they are destroyed.
• GPU Droplets run on shared physical hosts, and DigitalOcean notes there may be minor resource fluctuations; its single-tenant Bare Metal GPUs are sold by contract only.
• Each GPU Droplet includes an outbound transfer allowance, and additional outbound transfer is billed per GiB.

OverGPU vs Paperspace at a glance

Paperspace and DigitalOcean details come from their public websites and documentation in October 2026 and can change, so check their current terms before you decide.

When Paperspace or DigitalOcean is the better choice

• You work mostly in notebooks and start machines only when you need them; compute billing for Paperspace machines stops when they are powered off.
• You want per-second billing, spot capacity or a 12-month reservation, managed through the DigitalOcean API or the doctl CLI.
• Your applications, databases and storage already run on DigitalOcean and you want GPUs in the same account.

Notebooks on a dedicated server

Leaving hosted notebooks does not mean giving up Jupyter. On an OverGPU server you have root over SSH, so you can run JupyterLab or a remote editor against the GPU through an SSH tunnel; see our remote development guide. The difference is that the environment persists: models, datasets and checkpoints stay on local NVMe all month, and the GPU is yours whether a notebook is open or not. Local storage is not backed up by us, so keep copies of anything you cannot recreate.

What OverGPU offers, and what it does not

Every server includes whole GPUs that no one else uses, from a single RTX 5090 or L40S to B200 and B300, plus 8-GPU NVIDIA HGX and AMD Instinct MI355X servers. The price is flat, billed monthly in advance with no setup fee, and each plan shows its per-GPU-hour equivalent on our pricing page. Bandwidth is included with no egress fees: 20 TB per month on single-GPU servers and 50 TB on 8-GPU servers, under fair use. We commit to 99.9% monthly availability with service credits, engineers answer 24/7, and you pay from a prepaid balance topped up in crypto (BTC, ETH, XMR, USDT on TRON or SOL), with a top-up bonus of up to 50%; card payments are coming soon.

We do not offer per-second billing, spot capacity, serverless endpoints or hosted notebooks. You deploy a server from one form: choose a configuration, set up the OS image, optional preinstalled software and your login (root password or SSH key), create a free account or log in, and pay the first month from your balance. The server is delivered in under 10 minutes after payment. Use the VRAM calculator to pick a GPU and the GPU cost calculator to check whether monthly billing fits your hours.