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 logo

Microsoft Azure

Provider 1

0
GPUs Available
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Hyperstack logo

Hyperstack

Provider 2

9
GPUs Available
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Comparison Overview

9
Total GPU Models
Microsoft Azure logo
0
Microsoft Azure GPUs
Hyperstack logo
9
Hyperstack GPUs
0
Direct Comparisons
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Microsoft Azure
Hyperstack

GPU Pricing Comparison

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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

Get Started
  1. 1
    Create an Azure account

    Sign up for Azure and get started with free credits

  2. 2
    Set up your environment

    Configure your subscription, resource groups, and access controls

  3. 3
    Choose compute services

    Select from VMs, containers, or serverless based on your needs

  4. 4
    Deploy resources

    Launch your first GPU-enabled instance or AI service

Hyperstack

Get Started
  1. 1
    Register Account

    Sign up for Hyperstack cloud services

  2. 2
    Choose Configuration

    Select from pre-configured flavors or create custom ones

  3. 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