DigitalOcean
Simple, scalable GPU cloud for AI and ML
Last reviewed Mar 16, 2026
DigitalOcean offers GPU Droplets powered by NVIDIA H100, H200, L40s, and AMD MI300X GPUs with simple per-hour pricing and no long-term commitments.
Available GPUs
Hourly on-demand pricing. Click column headers to sort.
Prices last updated: April 30, 2026
GPU Model↑ | Memory↑ | GPUs | vCPUs | RAM | Price / hr↑ | Updated↑ | Source |
|---|---|---|---|---|---|---|---|
| H100 SXM | 80GB | 1×8× | 20 | 240 GB | $3.39/hr | 4/30/2026 | |
| H200 | 141GB | 1×8× | 24 | 240 GB | $3.44/hr | 4/30/2026 | |
| L40S | 48GB | 1× | 8 | 64 GB | $1.57/hr | 4/30/2026 | |
| MI300X | 192GB | 1×8× | 20 | 240 GB | $1.99/hr | 4/30/2026 | |
| RTX 4000 Ada | 20GB | 1× | 8 | 32 GB | $0.76/hr | 4/30/2026 | |
| RTX 6000 Ada | 48GB | 1× | 8 | 64 GB | $1.57/hr | 4/30/2026 | |
| RTX 6000 Pro | 96GB | 1× | 8 | 64 GB | $1.57/hr | 4/4/2026 |
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
Create an Account
Sign up at digitalocean.com and verify your account.
- 2
Create a GPU Droplet
Select GPU Droplets from the Create menu, choose your GPU type and configuration.
- 3
Choose an Image
Select a pre-configured AI/ML image or a base OS image.
- 4
Launch and Connect
Launch your GPU Droplet and connect via SSH to start working.
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