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Microsoft Azure

Enterprise cloud integrated with Microsoft ecosystem

Classical hyperscaler🇺🇸 USinferenceenterprise

Last reviewed Mar 14, 2026

Azure provides comprehensive cloud computing services with strong enterprise integration, advanced AI capabilities, and a wide range of GPU options for machine learning, visualization, and high-performance computing workloads.

6
GPU Models
$0.19
From / hour
16
LLM Models
$0.15
From / 1M input

Available GPUs

Hourly on-demand pricing. Click column headers to sort.

Prices last updated: April 27, 2026

Pricing
GPU Model
Memory
GPUs
vCPUs
RAM
Price / hr
Updated
Source
A1024GB
1×2×
36440 GB
$3.20/hr
4/27/2026
A100 PCIE40GB
1×2×4×
24220 GB
$3.67/hr
4/27/2026
A100 SXM80GB
8×
96900 GB
$3.40/hr
4/27/2026
H100 SXM80GB
1×2×8×
40320 GB
$6.98/hr
4/27/2026
Tesla T416GB
1×4×
428 GB
$0.53/hr
4/27/2026
Tesla V10032GB
1×2×4×8×
6112 GB
$3.06/hr
4/27/2026

LLM API Pricing

Pay-per-token pricing. Prices shown per 1M tokens.

Prices last updated: April 27, 2026

Pricing
ModelCreatorContextInput/1MOutput/1MUpdated
OpenAI128K$0.150$0.6004/9/2026
OpenAI128K$0.150$0.6004/26/2026
OpenAI256K$0.250$2.003/31/2026
OpenAI200K$0.250$2.004/27/2026
OpenAI200K$1.10$4.404/26/2026
OpenAI200K$1.10$4.404/27/2026
OpenAI400K$1.25$10.003/31/2026
OpenAI1.0M$2.00$8.004/17/2026
OpenAI128K$2.50$10.004/27/2026
OpenAI128K$4.00$16.004/9/2026

Pros & Cons

Advantages

  • Strong enterprise integration and support
  • Comprehensive AI and machine learning services
  • Advanced security and compliance features
  • Extensive hybrid cloud capabilities
  • Wide range of GPU options
  • Strong .NET and Windows workload support
  • Integrated development tools and DevOps services

Limitations

  • Complex pricing and billing structure
  • Can be expensive for certain workloads
  • Steeper learning curve for new users
  • Some services have limited regional availability
  • Documentation can be fragmented

Key Features

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

Compute Services

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
  • DevOps integration

Azure Machine Learning

End-to-end ML platform with GPU acceleration

  • Automated ML capabilities
  • Integrated MLOps
  • Distributed training support

Inference Services

Azure OpenAI Service

Access to OpenAI's models including GPT-4 and GPT-5 series through Microsoft Azure, with enterprise security, compliance, and regional deployment options.

  • Enterprise Security: Azure Active Directory integration, private endpoints, and data encryption
  • Regional Deployment: Deploy models in specific Azure regions for data residency compliance
  • Responsible AI: Built-in content filtering and abuse monitoring
  • Provisioned Throughput: Reserved capacity for predictable performance and pricing

Pricing Models

  • Pay-as-you-go: Per-token pricing matching OpenAI rates for most models
  • Provisioned Throughput Units: Reserved capacity for guaranteed throughput and predictable costs

Pricing Options

OptionDetails
Pay-as-you-goFlexible pricing with no upfront commitment
Reserved VM InstancesSave up to 72% with 1 or 3-year commitments
Spot VMsUp to 90% savings for interruptible workloads
Azure Hybrid BenefitCost savings for existing Windows Server and SQL Server licenses
Azure savings plan for computeSave money across select compute services globally by committing to spend a fixed hourly amount for 1 or 3 years

Availability & Support

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.

Getting 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

Compare Providers

Find the best prices for the same GPUs from other providers

IO.NET logo

IO.NET

5 shared GPUs with Microsoft Azure

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RunPod

4 shared GPUs with Microsoft Azure

Amazon AWS logo

Amazon AWS

4 shared GPUs with Microsoft Azure