IO.NET IO.NET

IO.NET is a decentralized GPU network designed to give unlimited computing power to ML applications. They provide access to over 300,000 verified GPUs from 139 countries at up to 90% lower cost than traditional cloud providers, with clusters deploying in under 90 seconds.

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Key Features

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

Flexible Pricing

Pay with $IO tokens, no long-term contracts or complex KYC requirements

Provider Comparison

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
  • Built on proven Ray.io framework used by OpenAI
  • Wide range of GPU types from consumer to enterprise grade
  • Auto-scaling and dynamic resource allocation

Limitations

  • Newer platform compared to established cloud providers
  • Decentralized nature may have performance consistency variations
  • Primarily crypto-native payment model ($IO tokens)
  • Less comprehensive documentation compared to major cloud providers
  • Performance depends on distributed node quality and connectivity

Available GPUs

No GPU instances available for this provider at the moment.

Compute Services

IO Cloud

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

IO Intelligence

AI models, smart agents, and API integration platform

Features:

  • Custom AI model deployment
  • Intelligent agent framework
  • Easy API integration for workflows
  • Automated decision-making capabilities

Pricing Options

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

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, Ray clusters, or bare metal based on your workload

4

Configure cluster

Specify GPU requirements, region preferences, and scaling options

5

Deploy in seconds

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