Amazon AWS vs DigitalOcean
Compare GPU pricing, features, and specifications between Amazon AWS and DigitalOcean cloud providers. Find the best deals for AI training, inference, and ML workloads.
Amazon AWS
Provider 1
DigitalOcean
Provider 2
Comparison Overview
Average Price Difference: $2.82/hour between comparable GPUs
GPU Pricing Comparison
| GPU Model ↑ | Amazon AWS Price | DigitalOcean Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Amazon AWS |  $1.42/hr★ Best4x GPU | Not Available | — | |
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Amazon AWS | $1.48/hr★ Best 8x GPU | Not Available | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Amazon AWS | $0.18/hr★ Best 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Amazon AWS | $0.15/hr★ Best 72x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
H100 80GB VRAM • Amazon AWS | $0.49/hr★ Best 8x GPU | Not Available | — | |
H100 80GB VRAM • | ||||
H100 SXM 80GB VRAM • DigitalOcean | Not Available |  $2.99/hr★ Best8x GPU | — | |
H100 SXM 80GB VRAM • Not Available DigitalOcean$2.99/hour 8x GPU configuration Updated: 3/26/2026 ★Best Price | ||||
H200 141GB VRAM • Amazon AWSDigitalOcean | $0.62/hr★ Best 8x GPU | $3.44/hr | ↓$2.82(81.9%) | |
H200 141GB VRAM • Amazon AWS$0.62/hour 8x GPU configuration Updated: 3/3/2026 ★Best Price DigitalOcean$3.44/hour Updated: 3/26/2026 Price Difference:↓$2.82(81.9%) | ||||
HGX B300 288GB VRAM • Amazon AWS | $1.46/hr★ Best 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • DigitalOcean | Not Available | $1.57/hr★ Best | — | |
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • DigitalOcean | Not Available | $1.99/hr★ Best | — | |
MI300X 192GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • DigitalOcean | Not Available | $0.76/hr★ Best | — | |
RTX 4000 Ada 20GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • DigitalOcean | Not Available | $1.57/hr★ Best | — | |
RTX 6000 Ada 48GB VRAM • | ||||
A10 24GB VRAM • Amazon AWS | $1.42/hr★ Best 4x GPU | Not Available | — | |
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Amazon AWS | $1.48/hr★ Best 8x GPU | Not Available | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Amazon AWS | $0.18/hr★ Best 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Amazon AWS | $0.15/hr★ Best 72x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
H100 80GB VRAM • Amazon AWS | $0.49/hr★ Best 8x GPU | Not Available | — | |
H100 80GB VRAM • | ||||
H100 SXM 80GB VRAM • DigitalOcean | Not Available | $2.99/hr★ Best 8x GPU | — | |
H100 SXM 80GB VRAM • Not Available DigitalOcean$2.99/hour 8x GPU configuration Updated: 3/26/2026 ★Best Price | ||||
H200 141GB VRAM • Amazon AWSDigitalOcean | $0.62/hr★ Best 8x GPU | $3.44/hr | ↓$2.82(81.9%) | |
H200 141GB VRAM • Amazon AWS$0.62/hour 8x GPU configuration Updated: 3/3/2026 ★Best Price DigitalOcean$3.44/hour Updated: 3/26/2026 Price Difference:↓$2.82(81.9%) | ||||
HGX B300 288GB VRAM • Amazon AWS | $1.46/hr★ Best 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • DigitalOcean | Not Available | $1.57/hr★ Best | — | |
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • DigitalOcean | Not Available | $1.99/hr★ Best | — | |
MI300X 192GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • DigitalOcean | Not Available | $0.76/hr★ Best | — | |
RTX 4000 Ada 20GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • DigitalOcean | Not Available | $1.57/hr★ Best | — | |
RTX 6000 Ada 48GB VRAM • | ||||
Features Comparison
Amazon AWS
- Global Infrastructure
Extensive network of data centers across multiple regions worldwide
- Pay-as-you-go Pricing
Flexible pricing model with no upfront commitments required
- Advanced Security
Comprehensive security tools and compliance certifications
- Auto Scaling
Automatically adjust resources based on demand
- Integrated Services
Extensive ecosystem of services that work seamlessly together
- Developer Tools
Comprehensive suite of tools for development, deployment, and management
DigitalOcean
- 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.
Pros & Cons
Amazon AWS
Advantages
- Broad range of compute options including GPUs
- Highly scalable and reliable infrastructure
- Pay-as-you-go pricing with cost optimization tools
- Extensive global network of data centers
Considerations
- Complex pricing structure
- Steep learning curve for new users
- Potential for unexpected costs without proper management
DigitalOcean
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
Considerations
- Newer to GPU cloud compared to specialized providers
- Some high-end SKUs (MI325X, B300) require sales contact
- Limited GPU data center regions
Compute Services
Amazon AWS
Amazon EC2
Virtual servers in the cloud with a wide range of instance types.
Amazon ECS
Fully managed container orchestration service.
- Support for Docker containers
- Integration with other AWS services
Amazon EKS
Managed Kubernetes service for container orchestration.
- Certified Kubernetes conformant
- Integrates with AWS networking and security services
DigitalOcean
Pricing Options
Amazon AWS
On-Demand Instances
Pay for compute capacity by the second with no long-term commitments.
Spot Instances
Use spare EC2 capacity at up to 90% off the On-Demand price.
Reserved Instances
Save up to 72% compared to On-Demand pricing with a 1 or 3-year commitment.
Savings Plans
Save up to 72% on compute usage with a 1 or 3-year commitment to a consistent amount of usage.
DigitalOcean
Getting Started
Amazon AWS
- 1
Sign up for AWS
Create an AWS account to access the cloud platform.
- 2
Choose a compute service
Select from EC2, Lambda, or container services based on your workload needs.
- 3
Launch an instance
Configure and launch your first compute instance or container.
- 4
Set up security
Configure security groups and access controls for your resources.
- 5
Monitor and optimize
Use AWS CloudWatch and Compute Optimizer to monitor performance and reduce costs.
DigitalOcean
- 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.
Support & Global Availability
Amazon AWS
Global Regions
30+ regions and 100+ availability zones worldwide.
Support
Basic (free), Developer, Business, Enterprise support plans with varying response times and features. Extensive documentation, forums, and training resources.
DigitalOcean
Global 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.
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