Amazon AWS vs IO.NET
Compare GPU pricing, features, and specifications between Amazon AWS and IO.NET cloud providers. Find the best deals for AI training, inference, and ML workloads.
Amazon AWS
Provider 1
IO.NET
Provider 2
Comparison Overview
Average Price Difference: $2.33/hour between comparable GPUs
GPU Pricing Comparison
| GPU Model ↑ | Amazon AWS Price | IO.NET Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Amazon AWS |  $1.63/hr★ Best | Not Available | — | |
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Amazon AWS | $1.48/hr★ Best 8x GPU | Not Available | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Amazon AWS | $1.48/hr★ Best 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Amazon AWS | $74.88/hr★ Best 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
H100 80GB VRAM • Amazon AWSIO.NET | $3.93/hr 8x GPU |  $1.99/hr★ Best | ↑+$1.94(+97.6%) | |
H100 80GB VRAM • Amazon AWS$3.93/hour 8x GPU configuration Updated: 2/8/2026 IO.NET$1.99/hour Updated: 2/20/2026 ★Best Price Price Difference:↑+$1.94(+97.6%) | ||||
H100 PCIe 80GB VRAM • IO.NET | Not Available | $1.70/hr★ Best | — | |
H100 PCIe 80GB VRAM • | ||||
H200 141GB VRAM • Amazon AWSIO.NET | $5.20/hr 8x GPU | $2.49/hr★ Best | ↑+$2.71(+108.9%) | |
H200 141GB VRAM • Amazon AWS$5.20/hour 8x GPU configuration Updated: 2/1/2026 IO.NET$2.49/hour Updated: 2/20/2026 ★Best Price Price Difference:↑+$2.71(+108.9%) | ||||
HGX B300 288GB VRAM • Amazon AWS | $93.60/hr★ Best 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | Not Available | $0.50/hr★ Best | — | |
RTX 4090 24GB VRAM • | ||||
A10 24GB VRAM • Amazon AWS | $1.63/hr★ Best | Not Available | — | |
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Amazon AWS | $1.48/hr★ Best 8x GPU | Not Available | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Amazon AWS | $1.48/hr★ Best 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Amazon AWS | $74.88/hr★ Best 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
H100 80GB VRAM • Amazon AWSIO.NET | $3.93/hr 8x GPU | $1.99/hr★ Best | ↑+$1.94(+97.6%) | |
H100 80GB VRAM • Amazon AWS$3.93/hour 8x GPU configuration Updated: 2/8/2026 IO.NET$1.99/hour Updated: 2/20/2026 ★Best Price Price Difference:↑+$1.94(+97.6%) | ||||
H100 PCIe 80GB VRAM • IO.NET | Not Available | $1.70/hr★ Best | — | |
H100 PCIe 80GB VRAM • | ||||
H200 141GB VRAM • Amazon AWSIO.NET | $5.20/hr 8x GPU | $2.49/hr★ Best | ↑+$2.71(+108.9%) | |
H200 141GB VRAM • Amazon AWS$5.20/hour 8x GPU configuration Updated: 2/1/2026 IO.NET$2.49/hour Updated: 2/20/2026 ★Best Price Price Difference:↑+$2.71(+108.9%) | ||||
HGX B300 288GB VRAM • Amazon AWS | $93.60/hr★ Best 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | Not Available | $0.50/hr★ Best | — | |
RTX 4090 24GB VRAM • | ||||
Features Comparison
Amazon AWS
- Global Infrastructure
Extensive network of data centers across multiple regions worldwide
- Pay-as-you-go Pricing
Flexible pricing model with no upfront commitments required
- Advanced Security
Comprehensive security tools and compliance certifications
- Auto Scaling
Automatically adjust resources based on demand
- Integrated Services
Extensive ecosystem of services that work seamlessly together
- Developer Tools
Comprehensive suite of tools for development, deployment, and management
IO.NET
- Massive Decentralized Network
Access to 300,000+ verified GPUs from 139 countries with 6,000+ cluster-ready GPUs
- Rapid Deployment
Deploy clusters in under 90 seconds with auto-scaling capabilities
- Multiple Deployment Options
Choose from containers, Ray clusters, or bare metal based on workload needs
- Built on Ray.io
Uses the same distributed computing framework that OpenAI used to train GPT-3
- IO Intelligence
AI models, smart agents, and API integration for workflow automation
- Mesh VPN Security
Kernel-level VPN with secure mesh protocols for data protection
Pros & Cons
Amazon AWS
Advantages
- Broad range of compute options including GPUs
- Highly scalable and reliable infrastructure
- Pay-as-you-go pricing with cost optimization tools
- Extensive global network of data centers
Considerations
- Complex pricing structure
- Steep learning curve for new users
- Potential for unexpected costs without proper management
IO.NET
Advantages
- Up to 90% cost savings compared to AWS, GCP, and Azure
- Fastest deployment time in the industry (under 90 seconds)
- Massive global network with 300,000+ GPUs available
- No waitlists, approvals, or long-term contracts required
Considerations
- Newer platform compared to established cloud providers
- Decentralized nature may have performance consistency variations
- Primarily crypto-native payment model ($IO tokens)
Compute Services
Amazon AWS
Amazon EC2
Virtual servers in the cloud with a wide range of instance types.
Amazon ECS
Fully managed container orchestration service.
- Support for Docker containers
- Integration with other AWS services
Amazon EKS
Managed Kubernetes service for container orchestration.
- Certified Kubernetes conformant
- Integrates with AWS networking and security services
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
Amazon AWS
On-Demand Instances
Pay for compute capacity by the second with no long-term commitments.
Spot Instances
Use spare EC2 capacity at up to 90% off the On-Demand price.
Reserved Instances
Save up to 72% compared to On-Demand pricing with a 1 or 3-year commitment.
Savings Plans
Save up to 72% on compute usage with a 1 or 3-year commitment to a consistent amount of usage.
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
Amazon AWS
- 1
Sign up for AWS
Create an AWS account to access the cloud platform.
- 2
Choose a compute service
Select from EC2, Lambda, or container services based on your workload needs.
- 3
Launch an instance
Configure and launch your first compute instance or container.
- 4
Set up security
Configure security groups and access controls for your resources.
- 5
Monitor and optimize
Use AWS CloudWatch and Compute Optimizer to monitor performance and reduce costs.
IO.NET
- 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
Support & Global Availability
Amazon AWS
Global Regions
30+ regions and 100+ availability zones worldwide.
Support
Basic (free), Developer, Business, Enterprise support plans with varying response times and features. Extensive documentation, forums, and training 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
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