CoreWeave vs IO.NET
Compare GPU pricing, features, and specifications between CoreWeave and IO.NET cloud providers. Find the best deals for AI training, inference, and ML workloads.
CoreWeave
Provider 1
IO.NET
Provider 2
Comparison Overview
Average Price Difference: $47.60/hour between comparable GPUs
GPU Pricing Comparison
| GPU Model ↑ | CoreWeave Price | IO.NET Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
GB200 384GB VRAM • CoreWeave | 41x GPU | Not Available | — | |
GB200 384GB VRAM • | ||||
GH200 96GB VRAM • CoreWeave | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 80GB VRAM • CoreWeaveIO.NET | 8x GPU | ↑+$47.25(+2374.4%) | ||
H100 PCIe 80GB VRAM • IO.NET | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H200 141GB VRAM • CoreWeaveIO.NET | 8x GPU | ↑+$47.95(+1925.7%) | ||
L40 40GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
L40 40GB VRAM • | ||||
L40S 48GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
A100 SXM 80GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
GB200 384GB VRAM • CoreWeave | 41x GPU | Not Available | — | |
GB200 384GB VRAM • | ||||
GH200 96GB VRAM • CoreWeave | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 80GB VRAM • CoreWeaveIO.NET | 8x GPU | ↑+$47.25(+2374.4%) | ||
H100 PCIe 80GB VRAM • IO.NET | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H200 141GB VRAM • CoreWeaveIO.NET | 8x GPU | ↑+$47.95(+1925.7%) | ||
L40 40GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
L40 40GB VRAM • | ||||
L40S 48GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
Features Comparison
CoreWeave
- Kubernetes-Native Platform
Purpose-built AI-native platform with Kubernetes-native developer experience
- Latest NVIDIA GPUs
First-to-market access to the latest NVIDIA GPUs including H100, H200, and Blackwell architecture
- Mission Control
Unified security, talent services, and observability platform for large-scale AI operations
- High Performance Networking
High-performance clusters with InfiniBand networking for optimal scale-out connectivity
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
CoreWeave
Advantages
- Extensive selection of NVIDIA GPUs, including latest Blackwell architecture
- Kubernetes-native infrastructure for easy scaling and deployment
- Fast deployment with 10x faster inference spin-up times
- High cluster reliability with 96% goodput and 50% fewer interruptions
Considerations
- Primary focus on North American data centers
- Specialized nature may not suit all general computing needs
- Learning curve for users unfamiliar with Kubernetes
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
CoreWeave
GPU Instances
On-demand and reserved GPU instances with latest NVIDIA hardware
CPU Instances
High-performance CPU instances to complement GPU workloads
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
CoreWeave
On-Demand Instances
Pay-per-hour GPU and CPU instances with flexible scaling
Reserved Capacity
Committed usage discounts up to 60% over on-demand pricing
Transparent Storage
No ingress, egress, or transfer fees for data movement
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
CoreWeave
- 1
Create Account
Sign up for CoreWeave Cloud platform access
- 2
Choose GPU Instance
Select from latest NVIDIA GPUs including H100, H200, and Blackwell architecture
- 3
Deploy via Kubernetes
Use Kubernetes-native tools for workload deployment and scaling
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
CoreWeave
Global Regions
Deployments across North America with expanding global presence
Support
24/7 support from dedicated engineering teams, comprehensive documentation, and Kubernetes expertise
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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