What is the difference between Microsoft Azure and Google Cloud?

Microsoft Azure and Google Cloud are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: Microsoft Azure or Google Cloud?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between Microsoft Azure and Google Cloud?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

Microsoft Azure vs Google Cloud

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

Microsoft Azure

Provider 1

GPUs Available

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Google Cloud

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

Microsoft Azure GPUs

Google Cloud GPUs

Direct Comparisons

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Microsoft Azure

Google Cloud

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

Google Cloud

Compute Engine
Scalable virtual machines with a wide range of machine types, including GPUs.
Google Kubernetes Engine (GKE)
Managed Kubernetes service for deploying and managing containerized applications.
Cloud Functions
Event-driven serverless compute platform.
Cloud Run
Fully managed serverless platform for containerized applications.
Vertex AI
Unified ML platform for building, deploying, and managing ML models.
Preemptible VMs
Short-lived compute instances at a significant discount, suitable for fault-tolerant workloads.

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

Google Cloud

Advantages

Flexible pricing options, including sustained use discounts
Strong AI and machine learning tools (Vertex AI)
Good integration with other Google services
Cutting-edge Kubernetes implementation (GKE)

Considerations

Limited availability in some regions compared to AWS
Complexity in managing resources
Support can be costly

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

Google Cloud

Compute Engine

Offers customizable virtual machines running in Google's data centers.

Google Kubernetes Engine (GKE)

Managed Kubernetes service for running containerized applications.

Automated Kubernetes operations
Integration with Google Cloud services

Cloud Functions

Serverless compute platform for running code in response to events.

Automatic scaling and high availability
Pay only for the compute time consumed

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

Google Cloud

On-Demand

Pay for compute capacity per hour or per second, with no long-term commitments.

Sustained Use Discounts

Automatic discounts for running instances for a significant portion of the month.

Committed Use Discounts

Save up to 57% with a 1-year or 3-year commitment to a minimum level of resource usage.

Preemptible VMs

Save up to 80% for fault-tolerant workloads that can be interrupted.

Getting Started

Microsoft Azure

Get Started

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

Google Cloud

Get Started

1
Create a Google Cloud project
Set up a project in the Google Cloud Console.
2
Enable billing
Set up a billing account to pay for resource usage.
3
Choose a compute service
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
4
Create and configure an instance
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
5
Manage resources
Use the Cloud Console, command-line tools, or APIs to manage your resources.

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.

Google Cloud

Global Regions

35+ regions and 100+ zones worldwide.

Support

Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.