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.
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
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
| Option | Details |
|---|---|
| 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
Sign up for IO.NET
Create an account on the IO.NET platform with no complex KYC requirements
Acquire $IO tokens
Purchase $IO tokens for compute payments or add other supported payment methods
Choose deployment type
Select from containers, Ray clusters, or bare metal based on your workload
Configure cluster
Specify GPU requirements, region preferences, and scaling options
Deploy in seconds
Launch your cluster in under 90 seconds and start your AI/ML workloads