This page is the Paperspace listing. The website on file is paperspace.com. Our data stores the display name as DigitalOcean, which is the same name as the separate DigitalOcean Droplets page. Founded in 2014, headquarters Brooklyn. The tagline is an ML platform with notebooks, workflows, and GPU instances. Billing is per hour. The recorded payment method is credit card. Published rows are T4, V100, A100 80GB, H100 SXM, and L40S.
Why this listing stands out
Our data records persistent storage, multi-GPU, Kubernetes, an API, Jupyter, Docker, reserved instances, and SOC 2. Spot is not set. The pricing-competitiveness score is at the top of the directory.
Pros
- Published T4, V100, A100, H100 SXM, and L40S
- Per-hour billing and credit card
- Jupyter, Docker, Kubernetes, an API, persistent storage, and reserved instances recorded
- Marked SOC 2 compliant
Cons
- No spot instances in our data
- The display name in our data collides with DigitalOcean. Use the URL, paperspace.com, to know which provider you are opening
- Five published GPUs, so the catalogue is narrower than a marketplace
Getting started
- Open Paperspace and confirm the host is paperspace.com.
- Pay by credit card.
- Use notebooks, Docker, or Kubernetes. All three are recorded. Spot is not.
Best for: Hourly notebook-style access to T4, A100, or H100, with reserved instances and a SOC 2 flag, as long as you do not need spot.