Amazon AWS vs Microsoft Azure
Compare GPU pricing, features, and specifications between Amazon AWS and Microsoft Azure cloud providers. Find the best deals for AI training, inference, and ML workloads.

Amazon AWS
Provider 1

Microsoft Azure
Provider 2
Comparison Overview


GPU Pricing Comparison
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
Microsoft Azure
- Azure AI
Comprehensive suite of AI services and tools for building intelligent applications
- Enterprise Integration
Seamless integration with Microsoft ecosystem and enterprise tools
- Hybrid Capabilities
Strong hybrid and multi-cloud support with Azure Arc
- Advanced Security
Industry-leading security features and compliance certifications
- Global Scale
Extensive worldwide network of data centers and edge locations
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
Microsoft Azure
Advantages
- Strong enterprise integration and support
- Comprehensive AI and machine learning services
- Advanced security and compliance features
- Extensive hybrid cloud capabilities
Considerations
- Complex pricing and billing structure
- Can be expensive for certain workloads
- Steeper learning curve for new users
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
Microsoft Azure
Azure Virtual Machines
GPU-enabled VMs for various workloads
Azure Kubernetes Service (AKS)
Managed Kubernetes service with GPU support
- Integrated GPU node pools
- Automated scaling and updates
Azure Machine Learning
End-to-end ML platform with GPU acceleration
- Automated ML capabilities
- Integrated MLOps
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.
Microsoft Azure
Pay-as-you-go
Flexible pricing with no upfront commitment
Reserved VM Instances
Save up to 72% with 1 or 3-year commitments
Spot VMs
Up to 90% savings for interruptible workloads
Azure Hybrid Benefit
Cost savings for existing Windows Server and SQL Server licenses
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.
Microsoft Azure
- 1
Create an Azure account
Sign up for Azure and get started with free credits
- 2
Set up your environment
Configure your subscription, resource groups, and access controls
- 3
Choose compute services
Select from VMs, containers, or serverless based on your needs
- 4
Deploy resources
Launch your first GPU-enabled instance or AI service
Support & Global Availability
Amazon AWS
Global Regions
25+ regions and 80+ availability zones worldwide.
Support
Basic (free), Developer, Business, Enterprise support plans with varying response times and features. Extensive documentation, forums, and training resources.
Microsoft Azure
Global Regions
60+ regions worldwide with multiple availability zones
Support
Basic, Developer, Standard, and Professional Direct support plans with 24/7 options. Extensive documentation and community resources.
Related Comparisons
Explore how these providers compare to other popular GPU cloud services
Amazon AWS vs Google Cloud
PopularCompare Amazon AWS with another leading provider
Amazon AWS vs CoreWeave
PopularCompare Amazon AWS with another leading provider
Amazon AWS vs RunPod
PopularCompare Amazon AWS with another leading provider
Amazon AWS vs Lambda Labs
PopularCompare Amazon AWS with another leading provider
Amazon AWS vs Vast.ai
PopularCompare Amazon AWS with another leading provider
Microsoft Azure vs Google Cloud
PopularCompare Microsoft Azure with another leading provider