Microsoft Azure vs IO.NET

Compare GPU pricing, features, and specifications between Microsoft Azure and IO.NET 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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IO.NET logo

IO.NET

Provider 2

4
GPUs Available
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Comparison Overview

4
Total GPU Models
Microsoft Azure logo
0
Microsoft Azure GPUs
IO.NET logo
4
IO.NET GPUs
0
Direct Comparisons

GPU Pricing Comparison

Total GPUs: 4Both available: 0Microsoft Azure: 0IO.NET: 4
Showing 4 of 4 GPUs
Last updated: 2/20/2026, 8:52:27 PM
H100
80GB VRAM •
Not Available
IO.NETIO.NET
$1.99/hour
Updated: 2/20/2026
Best Price
H100 PCIe
80GB VRAM •
Not Available
IO.NETIO.NET
$1.70/hour
Updated: 2/20/2026
Best Price
H200
141GB VRAM •
Not Available
IO.NETIO.NET
$2.49/hour
Updated: 2/20/2026
Best Price
RTX 4090
24GB VRAM •
Not Available
IO.NETIO.NET
$0.50/hour
Updated: 2/20/2026
Best Price

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

IO.NET

  • Massive Decentralized Network

    Access to 300,000+ verified GPUs from 139 countries with 6,000+ cluster-ready GPUs

  • Rapid Deployment

    Deploy clusters in under 90 seconds with auto-scaling capabilities

  • Multiple Deployment Options

    Choose from containers, Ray clusters, or bare metal based on workload needs

  • Built on Ray.io

    Uses the same distributed computing framework that OpenAI used to train GPT-3

  • IO Intelligence

    AI models, smart agents, and API integration for workflow automation

  • Mesh VPN Security

    Kernel-level VPN with secure mesh protocols for data protection

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

IO.NET

Advantages
  • Up to 90% cost savings compared to AWS, GCP, and Azure
  • Fastest deployment time in the industry (under 90 seconds)
  • Massive global network with 300,000+ GPUs available
  • No waitlists, approvals, or long-term contracts required
Considerations
  • Newer platform compared to established cloud providers
  • Decentralized nature may have performance consistency variations
  • Primarily crypto-native payment model ($IO tokens)

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

IO.NET

IO Cloud

On-demand GPU clusters for AI/ML workloads with multiple deployment options

IO Intelligence

AI models, smart agents, and API integration platform

  • Custom AI model deployment
  • Intelligent agent framework
Marketplace

Decentralized pool of GPU providers with unified APIs and competitive pricing.

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

IO.NET

Ray Cluster Pricing

Most cost-effective option for distributed ML workloads using Ray framework

Container Pricing

Standard containerized deployments with Docker support

Bare Metal Pricing

Premium pricing for direct hardware access and maximum performance

Auto-scaling

Dynamic pricing based on actual resource usage with automatic scaling

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

  1. 1
    Sign up for IO.NET

    Create an account on the IO.NET platform with no complex KYC requirements

  2. 2
    Acquire $IO tokens

    Purchase $IO tokens for compute payments or add other supported payment methods

  3. 3
    Choose deployment type

    Select from containers, Ray clusters, or bare metal based on your workload

  4. 4
    Configure cluster

    Specify GPU requirements, region preferences, and scaling options

  5. 5
    Deploy in seconds

    Launch your cluster in under 90 seconds and start your AI/ML workloads

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.

IO.NET

Global Regions

Global distributed network across 139 countries with intelligent geographic clustering and latency optimization

Support

Documentation portal, Discord community (500,000+ members), Telegram support, and direct engineering support for GPU and driver questions