What is the difference between AtmosCompute and IO.NET?

AtmosCompute and IO.NET 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: AtmosCompute or IO.NET?

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 AtmosCompute and IO.NET?

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

AtmosCompute vs IO.NET

Compare GPU pricing between AtmosCompute and IO.NET. Find the best rates for AI training, inference, and ML workloads.

AtmosCompute

Provider 1

GPUs Available

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IO.NET

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

AtmosCompute GPUs

IO.NET GPUs

Direct Comparisons

GPU Pricing Comparison

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Features Comparison

AtmosCompute

Instant Launch
Launch GPU servers in approximately 30 seconds.
Pay-as-you-go Pricing
Hourly billing without hidden fees.
Docker Support
Easily deploy containers with minimal commands.
API Access
Full REST API available for automation.
Data Security
Isolated environments with controlled access.

IO.NET

Massive Decentralized Network
Access to 300,000+ verified GPUs from 139 countries with 6,000+ cluster-ready GPUs
Rapid Deployment
Deploy GPU clusters in minutes with no waitlists, approval process, or enterprise contracts
Multiple Deployment Options
Choose from containers, virtual machines, 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
Agentic workflow editor, model and agent marketplace, and API integration for workflow automation
Training-as-a-Service
Managed model training offered alongside GPU rental

Pros & Cons

AtmosCompute

Advantages

Quick setup process
Wide variety of GPU configurations
Equipped for diverse applications

Considerations

Limited information on customer support
Country of operation not specified
No specified SLAs for enterprise customers

IO.NET

Advantages

Up to 70% cost savings compared to AWS
Clusters deploy in minutes
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

AtmosCompute

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

Agentic workflow editor
Model and agent marketplace

Marketplace

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

Pricing Options

AtmosCompute

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

AtmosCompute

Get Started

1
Create an account
Instant registration without unnecessary data.
2
Select configuration
Specify the video card model and resource requirements.
3
Launch and connect
Use SSH, RDP, or API for connection.

IO.NET

Get Started

1
Sign up for IO.NET
Create an account on the IO.NET platform with no complex KYC requirements
2
Acquire $IO tokens
Purchase $IO tokens for compute payments or add other supported payment methods
3
Choose deployment type
Select from containers, virtual machines, or Ray clusters based on your workload
4
Configure cluster
Specify GPU requirements, region preferences, and scaling options
5
Deploy
Launch your cluster in minutes and start your AI/ML workloads

Support & Global Availability

AtmosCompute

Support

Email support available.

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