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

Microsoft Azure
Provider 1

Hyperstack
Provider 2
Comparison Overview


GPU Pricing Comparison
Features Comparison
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
Hyperstack
- Managed Kubernetes
Automated software deployment, scaling and management
- Pre-Configured Flavours
Optimized templates for GPU-accelerated workloads with custom flavor options
- First Class API
Purpose-built API designed specifically for GPU cloud operations
- Optimised Networking
Network architecture optimized for maximum GPU efficiency
- Premium Storage
Multiple storage options including NVMe, HDD block, and HDD Shared storage
Pros & Cons
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
Hyperstack
Advantages
- Up to 75% more cost-effective than major cloud providers
- GPU-optimized ecosystem for maximum performance efficiency
- Easy-to-use platform with 1-click deployments
- 100% renewable energy powered infrastructure
Considerations
- Limited global presence (primarily Europe and North America)
- Niche market focus on GPU workloads
- Less established compared to major cloud providers
Compute 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
Hyperstack
GPU Instances
Range of NVIDIA GPU options for various workloads
Pricing Options
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
Hyperstack
Getting Started
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
Hyperstack
- 1
Register Account
Sign up for Hyperstack cloud services
- 2
Choose Configuration
Select from pre-configured flavors or create custom ones
- 3
Deploy Resources
Launch GPU instances with 1-click deployment
Support & Global Availability
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.
Hyperstack
Global Regions
Data centers in Europe and North America
Support
Human support team, documentation, and developer resources
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