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Compare GPU and LLM inference API pricing between Amazon AWS and IO.NET. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $2.21/hour between comparable GPUs
| GPU Model ↑ | Amazon AWS Price | IO.NET Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Amazon AWS | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • IO.NET | Not Available | 2x GPU | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Amazon AWSIO.NET | 8x GPU | ↑+$1.78(+184.1%) | ||
A100 SXM 80GB VRAM • $2.74/hour 8x GPU configuration Updated: 4/18/2026 $0.97/hour Updated: 4/18/2026 ★Best Price Price Difference:↑+$1.78(+184.1%) | ||||
A30 24GB VRAM • IO.NET | Not Available | 4x GPU | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • IO.NET | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 192GB VRAM • IO.NET | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 PCIe 80GB VRAM • IO.NET | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Amazon AWSIO.NET | 8x GPU | ↑+$5.03(+272.3%) | ||
H100 SXM 80GB VRAM • $6.88/hour 8x GPU configuration Updated: 4/18/2026 $1.85/hour Updated: 4/18/2026 ★Best Price Price Difference:↑+$5.03(+272.3%) | ||||
H200 141GB VRAM • Amazon AWSIO.NET | 8x GPU | 8x GPU | ↑+$4.98(+169.6%) | |
H200 141GB VRAM • $7.91/hour 8x GPU configuration Updated: 4/18/2026 $2.93/hour 8x GPU configuration Updated: 4/18/2026 ★Best Price Price Difference:↑+$4.98(+169.6%) | ||||
HGX B300 288GB VRAM • IO.NET | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Amazon AWSIO.NET | ↑+$0.21(+34.5%) | |||
L4 24GB VRAM • $0.80/hour Updated: 4/18/2026 $0.60/hour Updated: 4/18/2026 ★Best Price Price Difference:↑+$0.21(+34.5%) | ||||
L40 40GB VRAM • IO.NET | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Amazon AWSIO.NET | 4x GPU | ↑+$1.23(+195.4%) | ||
L40S 48GB VRAM • $1.86/hour Updated: 4/18/2026 $0.63/hour 4x GPU configuration Updated: 4/18/2026 ★Best Price Price Difference:↑+$1.23(+195.4%) | ||||
RTX 4000 Ada 20GB VRAM • IO.NET | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
A10 24GB VRAM • Amazon AWS | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • IO.NET | Not Available | 2x GPU | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Amazon AWSIO.NET | 8x GPU | ↑+$1.78(+184.1%) | ||
A100 SXM 80GB VRAM • $2.74/hour 8x GPU configuration Updated: 4/18/2026 $0.97/hour Updated: 4/18/2026 ★Best Price Price Difference:↑+$1.78(+184.1%) | ||||
A30 24GB VRAM • IO.NET | Not Available | 4x GPU | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • IO.NET | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 192GB VRAM • IO.NET | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 PCIe 80GB VRAM • IO.NET | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Amazon AWSIO.NET | 8x GPU | ↑+$5.03(+272.3%) | ||
H100 SXM 80GB VRAM • $6.88/hour 8x GPU configuration Updated: 4/18/2026 $1.85/hour Updated: 4/18/2026 ★Best Price Price Difference:↑+$5.03(+272.3%) | ||||
H200 141GB VRAM • Amazon AWSIO.NET | 8x GPU | 8x GPU | ↑+$4.98(+169.6%) | |
H200 141GB VRAM • $7.91/hour 8x GPU configuration Updated: 4/18/2026 $2.93/hour 8x GPU configuration Updated: 4/18/2026 ★Best Price Price Difference:↑+$4.98(+169.6%) | ||||
HGX B300 288GB VRAM • IO.NET | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Amazon AWSIO.NET | ↑+$0.21(+34.5%) | |||
L4 24GB VRAM • $0.80/hour Updated: 4/18/2026 $0.60/hour Updated: 4/18/2026 ★Best Price Price Difference:↑+$0.21(+34.5%) | ||||
L40 40GB VRAM • IO.NET | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Amazon AWSIO.NET | 4x GPU | ↑+$1.23(+195.4%) | ||
L40S 48GB VRAM • $1.86/hour Updated: 4/18/2026 $0.63/hour 4x GPU configuration Updated: 4/18/2026 ★Best Price Price Difference:↑+$1.23(+195.4%) | ||||
RTX 4000 Ada 20GB VRAM • IO.NET | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Amazon AWS with another leading provider
Compare Amazon AWS with another leading provider
Compare Amazon AWS with another leading provider
Compare Amazon AWS with another leading provider
Compare Amazon AWS with another leading provider
Compare Amazon AWS with another leading provider
Extensive network of data centers across multiple regions worldwide
Flexible pricing model with no upfront commitments required
Comprehensive security tools and compliance certifications
Automatically adjust resources based on demand
Extensive ecosystem of services that work seamlessly together
Comprehensive suite of tools for development, deployment, and management
Access to 300,000+ verified GPUs from 139 countries with 6,000+ cluster-ready GPUs
Deploy clusters in under 90 seconds with auto-scaling capabilities
Choose from containers, Ray clusters, or bare metal based on workload needs
Uses the same distributed computing framework that OpenAI used to train GPT-3
AI models, smart agents, and API integration for workflow automation
Kernel-level VPN with secure mesh protocols for data protection
Virtual servers in the cloud with a wide range of instance types.
Fully managed container orchestration service.
Managed Kubernetes service for container orchestration.
On-demand GPU clusters for AI/ML workloads with multiple deployment options
AI models, smart agents, and API integration platform
Decentralized pool of GPU providers with unified APIs and competitive pricing.
Pay for compute capacity by the second with no long-term commitments.
Use spare EC2 capacity at up to 90% off the On-Demand price.
Save up to 72% compared to On-Demand pricing with a 1 or 3-year commitment.
Save up to 72% on compute usage with a 1 or 3-year commitment to a consistent amount of usage.
Most cost-effective option for distributed ML workloads using Ray framework
Standard containerized deployments with Docker support
Premium pricing for direct hardware access and maximum performance
Dynamic pricing based on actual resource usage with automatic scaling
Create an AWS account to access the cloud platform.
Select from EC2, Lambda, or container services based on your workload needs.
Configure and launch your first compute instance or container.
Configure security groups and access controls for your resources.
Use AWS CloudWatch and Compute Optimizer to monitor performance and reduce costs.
Create an account on the IO.NET platform with no complex KYC requirements
Purchase $IO tokens for compute payments or add other supported payment methods
Select from containers, Ray clusters, or bare metal based on your workload
Specify GPU requirements, region preferences, and scaling options
Launch your cluster in under 90 seconds and start your AI/ML workloads
30+ regions and 100+ availability zones worldwide.
Basic (free), Developer, Business, Enterprise support plans with varying response times and features. Extensive documentation, forums, and training resources.
Global distributed network across 139 countries with intelligent geographic clustering and latency optimization
Documentation portal, Discord community (500,000+ members), Telegram support, and direct engineering support for GPU and driver questions