DigitalOcean is active here, founded in 2011, headquarters New York. The tagline is GPU Droplets for AI and ML. Billing is per hour. Payment methods on file are credit card and PayPal. The published rows are HGX B200, HGX H200, HGX H100, HGX A100, HGX A800, A100 40GB, and RTX 6000 Ada.
Why DigitalOcean stands out
Our data records persistent storage, multi-GPU, Kubernetes, an API, Jupyter, Docker, reserved instances, and SOC 2. Spot is the feature that is not set. The pricing-competitiveness score is at the low end, so this is a platform choice, not a bargain bin. This listing is digitalocean.com. The Paperspace listing is a separate page.
Pros
- Published HGX B200, H200, H100, and A100 rows
- Per-hour billing, credit card and PayPal
- Kubernetes, Jupyter, Docker, an API, persistent storage, and reserved instances recorded
- Marked SOC 2 compliant, founded 2011
Cons
- No spot instances in our data
- Pricing score is at the expensive end of this directory
- HGX rows may be multi-GPU nodes. Confirm the count on their quote. Our card does not store a GPU count for these rows
Getting started
- Open DigitalOcean and confirm whether the HGX price is per GPU or per node.
- Pay by credit card or PayPal.
- Use Kubernetes, Jupyter, or the API. Reserved capacity is listed. Spot is not.
Best for: Teams already on DigitalOcean who want HGX H100, H200, or B200 Droplets and a SOC 2 flag, after checking the node size on the quote.