IO.NET
io.net is a decentralized GPU network offering H100 (PCIe/SXM) and other GPUs via marketplace pricing, with significant cost differences vs hyperscalers.
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
Marketplace
Decentralized pool of GPU providers with unified APIs.
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
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