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Compare GPU and LLM inference API pricing between IO.NET and Lium.io. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.50/hour between comparable GPUs
| GPU Model ↑ | IO.NET Price | Lium.io Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • IO.NET | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • IO.NET | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • IO.NET | 4x GPU | Not Available | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • IO.NET | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 180GB VRAM • Lium.io | Not Available | — | ||
B200 180GB VRAM • | ||||
Gaudi 2 96GB VRAM • IO.NET | 8x GPU | Not Available | — | |
Gaudi 2 96GB VRAM • | ||||
H100 SXM 80GB VRAM • IO.NET | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • IO.NETLium.io | ↑+$0.79(+20.3%) | |||
H200 141GB VRAM • $4.69/hour Updated: 8/21/2026 $3.90/hour Updated: 8/21/2026 ★Best Price Price Difference:↑+$0.79(+20.3%) | ||||
HGX B300 288GB VRAM • Lium.io | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • IO.NET | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • IO.NET | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • IO.NETLium.io | 2x GPU | ↑+$0.46(+121.1%) | ||
L40S 48GB VRAM • $0.84/hour Updated: 8/20/2026 $0.38/hour 2x GPU configuration Updated: 8/21/2026 ★Best Price Price Difference:↑+$0.46(+121.1%) | ||||
RTX 3090 24GB VRAM • Lium.io | Not Available | 4x GPU | — | |
RTX 3090 24GB VRAM • Not Available $0.13/hour 4x GPU configuration Updated: 8/21/2026 ★Best Price | ||||
RTX 4000 Ada 20GB VRAM • IO.NET | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • Lium.io | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • IO.NET | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • IO.NET | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • IO.NET | 4x GPU | Not Available | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • IO.NET | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 180GB VRAM • Lium.io | Not Available | — | ||
B200 180GB VRAM • | ||||
Gaudi 2 96GB VRAM • IO.NET | 8x GPU | Not Available | — | |
Gaudi 2 96GB VRAM • | ||||
H100 SXM 80GB VRAM • IO.NET | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • IO.NETLium.io | ↑+$0.79(+20.3%) | |||
H200 141GB VRAM • $4.69/hour Updated: 8/21/2026 $3.90/hour Updated: 8/21/2026 ★Best Price Price Difference:↑+$0.79(+20.3%) | ||||
HGX B300 288GB VRAM • Lium.io | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • IO.NET | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • IO.NET | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • IO.NETLium.io | 2x GPU | ↑+$0.46(+121.1%) | ||
L40S 48GB VRAM • $0.84/hour Updated: 8/20/2026 $0.38/hour 2x GPU configuration Updated: 8/21/2026 ★Best Price Price Difference:↑+$0.46(+121.1%) | ||||
RTX 3090 24GB VRAM • Lium.io | Not Available | 4x GPU | — | |
RTX 3090 24GB VRAM • Not Available $0.13/hour 4x GPU configuration Updated: 8/21/2026 ★Best Price | ||||
RTX 4000 Ada 20GB VRAM • IO.NET | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • Lium.io | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
| Model ↑ | IO.NET | Lium.io | Input Diff ↕ |
|---|---|---|---|
DeepSeek | $0.568 in $2.28 out | Not available | — |
DeepSeek | $0.872 in $1.57 out | Not available | — |
DeepSeek | $0.213 in $0.562 out | Not available | — |
DeepSeek | $1.61 in $3.27 out | Not available | — |
Google | $0.110 in $0.408 out | Not available | — |
Zhipu | $0.157 in $0.937 out | Not available | — |
Zhipu | $0.536 in $2.07 out | Not available | — |
Zhipu | $0.880 in $2.37 out | Not available | — |
Zhipu | $0.910 in $2.93 out | Not available | — |
Zhipu | $1.36 in $4.40 out | Not available | — |
Zhipu | $1.42 in $4.58 out | Not available | — |
OpenAI | $0.188 in $0.700 out | Not available | — |
OpenAI | $0.061 in $0.220 out | Not available | — |
Moonshot | $0.570 in $2.30 out | Not available | — |
Moonshot | $0.544 in $2.85 out | Not available | — |
Explore how these providers compare to other popular GPU cloud services
Compare IO.NET with another leading provider
Compare IO.NET with another leading provider
Compare IO.NET with another leading provider
Compare IO.NET with another leading provider
Compare IO.NET with another leading provider
Compare IO.NET with another leading provider
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
Offers a variety of NVIDIA GPUs including B200, H100, and RTX 4090.
Supports different configurations including CPU and memory options.
Data centers in multiple countries including the US, Europe, and Australia.
Multiple instances report reliability ratings of over 90%.
Supports GPU splitting and various resource scaling options.
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.
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 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
Create an account on Lium.io.
Select the desired GPU or CPU instance.
Set specific configurations such as memory and storage.
Start the compute instance and access it via terminal.
Track your resource utilization and manage instances accordingly.
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
Available in Australia, United States, various European countries
Support channels not explicitly mentioned.