DigitalOcean

Simple, scalable GPU cloud for AI and ML

Classical hyperscaler🇺🇸 USbudget

DigitalOcean offers GPU Droplets powered by NVIDIA H100, H200, L40s, and AMD MI300X GPUs with simple per-hour pricing and no long-term commitments.

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Pros & Cons

Advantages

  • Simple, transparent pricing with no surprises
  • Wide GPU selection including H100, H200, L40s, and AMD MI300X
  • No long-term commitments required
  • Well-known developer platform with strong community
  • Easy-to-use dashboard and API
  • Multi-GPU configurations available (up to 8x)

Limitations

  • Newer to GPU cloud compared to specialized providers
  • Some high-end SKUs (MI325X, B300) require sales contact
  • Limited GPU data center regions

Key Features

GPU Droplets

On-demand NVIDIA and AMD GPU instances with per-hour billing and no long-term contracts.

One-Click ML Frameworks

Pre-configured images with PyTorch, TensorFlow, and CUDA for immediate productivity.

Integrated Platform

GPU Droplets work seamlessly with DigitalOcean's networking, storage, and managed databases.

Simple Pricing

Transparent per-hour pricing with no hidden fees or complex instance families.

Availability & Support

Regions

GPU Droplets are available in select US data centers with expansion planned.

Support

24/7 support via ticket system, extensive documentation, and active community forums.

Getting Started

  1. 1

    Create an Account

    Sign up at digitalocean.com and verify your account.

  2. 2

    Create a GPU Droplet

    Select GPU Droplets from the Create menu, choose your GPU type and configuration.

  3. 3

    Choose an Image

    Select a pre-configured AI/ML image or a base OS image.

  4. 4

    Launch and Connect

    Launch your GPU Droplet and connect via SSH to start working.