IO.NET vs Lambda Labs
Compare GPU pricing, features, and specifications between IO.NET and Lambda Labs cloud providers. Find the best deals for AI training, inference, and ML workloads.
IO.NET
Provider 1
Lambda Labs
Provider 2
Comparison Overview
Average Price Difference: $0.50/hour between comparable GPUs
GPU Pricing Comparison
| GPU Model ↑ | IO.NET Price | Lambda Labs Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Lambda Labs | Not Available |  $0.75/hr★ Best | — | |
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Lambda Labs | Not Available | $1.29/hr★ Best | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Lambda Labs | Not Available | $10.32/hr★ Best 8x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Lambda Labs | Not Available | $5.29/hr★ Best | — | |
B200 192GB VRAM • | ||||
GH200 96GB VRAM • Lambda Labs | Not Available | $1.99/hr★ Best | — | |
GH200 96GB VRAM • | ||||
H100 80GB VRAM • IO.NETLambda Labs |  $1.99/hr★ Best | $2.49/hr | ↓$0.50(20.1%) | |
H100 80GB VRAM • IO.NET$1.99/hour Updated: 2/20/2026 ★Best Price Lambda Labs$2.49/hour Updated: 2/22/2026 Price Difference:↓$0.50(20.1%) | ||||
H100 PCIe 80GB VRAM • IO.NET | $1.70/hr★ Best | Not Available | — | |
H100 PCIe 80GB VRAM • | ||||
H200 141GB VRAM • IO.NET | $2.49/hr★ Best | Not Available | — | |
H200 141GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | $0.50/hr★ Best | Not Available | — | |
RTX 4090 24GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Lambda Labs | Not Available | $0.50/hr★ Best | — | |
RTX 6000 Ada 48GB VRAM • | ||||
RTX 6000 Pro 96GB VRAM • Lambda Labs | Not Available | $0.50/hr★ Best | — | |
RTX 6000 Pro 96GB VRAM • | ||||
RTX A6000 48GB VRAM • Lambda Labs | Not Available | $3.20/hr★ Best 4x GPU | — | |
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Lambda Labs | Not Available | $4.40/hr★ Best 8x GPU | — | |
Tesla V100 32GB VRAM • | ||||
A10 24GB VRAM • Lambda Labs | Not Available | $0.75/hr★ Best | — | |
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Lambda Labs | Not Available | $1.29/hr★ Best | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Lambda Labs | Not Available | $10.32/hr★ Best 8x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Lambda Labs | Not Available | $5.29/hr★ Best | — | |
B200 192GB VRAM • | ||||
GH200 96GB VRAM • Lambda Labs | Not Available | $1.99/hr★ Best | — | |
GH200 96GB VRAM • | ||||
H100 80GB VRAM • IO.NETLambda Labs | $1.99/hr★ Best | $2.49/hr | ↓$0.50(20.1%) | |
H100 80GB VRAM • IO.NET$1.99/hour Updated: 2/20/2026 ★Best Price Lambda Labs$2.49/hour Updated: 2/22/2026 Price Difference:↓$0.50(20.1%) | ||||
H100 PCIe 80GB VRAM • IO.NET | $1.70/hr★ Best | Not Available | — | |
H100 PCIe 80GB VRAM • | ||||
H200 141GB VRAM • IO.NET | $2.49/hr★ Best | Not Available | — | |
H200 141GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | $0.50/hr★ Best | Not Available | — | |
RTX 4090 24GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Lambda Labs | Not Available | $0.50/hr★ Best | — | |
RTX 6000 Ada 48GB VRAM • | ||||
RTX 6000 Pro 96GB VRAM • Lambda Labs | Not Available | $0.50/hr★ Best | — | |
RTX 6000 Pro 96GB VRAM • | ||||
RTX A6000 48GB VRAM • Lambda Labs | Not Available | $3.20/hr★ Best 4x GPU | — | |
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Lambda Labs | Not Available | $4.40/hr★ Best 8x GPU | — | |
Tesla V100 32GB VRAM • | ||||
Features Comparison
IO.NET
- Massive Decentralized Network
Access to 300,000+ verified GPUs from 139 countries with 6,000+ cluster-ready GPUs
- Rapid Deployment
Deploy clusters in under 90 seconds with auto-scaling capabilities
- Multiple Deployment Options
Choose from containers, Ray clusters, or bare metal based on workload needs
- Built on Ray.io
Uses the same distributed computing framework that OpenAI used to train GPT-3
- IO Intelligence
AI models, smart agents, and API integration for workflow automation
- Mesh VPN Security
Kernel-level VPN with secure mesh protocols for data protection
Lambda Labs
Pros & Cons
IO.NET
Advantages
- Up to 90% cost savings compared to AWS, GCP, and Azure
- Fastest deployment time in the industry (under 90 seconds)
- Massive global network with 300,000+ GPUs available
- No waitlists, approvals, or long-term contracts required
Considerations
- Newer platform compared to established cloud providers
- Decentralized nature may have performance consistency variations
- Primarily crypto-native payment model ($IO tokens)
Lambda Labs
Advantages
- Early access to latest NVIDIA GPUs (H100, H200, Blackwell)
- Specialized for AI workloads
- One-click Jupyter access
- Pre-installed popular ML frameworks
Considerations
- Primarily focused on AI and ML workloads
- Limited global data center presence compared to major cloud providers
- Newer player in the cloud GPU market
Compute 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.
Lambda Labs
Pricing Options
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
Lambda Labs
Getting Started
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
Lambda Labs
Support & Global Availability
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
Lambda Labs
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