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 logo

CoreWeave

Provider 1

8
GPUs Available
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IO.NET logo

IO.NET

Provider 2

4
GPUs Available
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Comparison Overview

10
Total GPU Models
CoreWeave logo
8
CoreWeave GPUs
IO.NET logo
4
IO.NET GPUs
2
Direct Comparisons

Average Price Difference: $47.60/hour between comparable GPUs

GPU Pricing Comparison

Total GPUs: 10Both available: 2CoreWeave: 8IO.NET: 4
Showing 10 of 10 GPUs
Last updated: 2/22/2026, 10:20:40 AM
A100 SXM
80GB VRAM •
CoreWeaveCoreWeave
$21.60/hour
8x GPU configuration
Updated: 2/21/2026
Best Price
Not Available
B200
192GB VRAM •
CoreWeaveCoreWeave
$68.80/hour
8x GPU configuration
Updated: 2/21/2026
Best Price
Not Available
GB200
384GB VRAM •
CoreWeaveCoreWeave
$42.00/hour
41x GPU configuration
Updated: 2/21/2026
Best Price
Not Available
GH200
96GB VRAM •
CoreWeaveCoreWeave
$6.50/hour
Updated: 2/21/2026
Best Price
Not Available
H100
80GB VRAM •
CoreWeaveCoreWeave
$49.24/hour
8x GPU configuration
Updated: 2/21/2026
IO.NETIO.NET
$1.99/hour
Updated: 2/20/2026
Best Price
Price Difference:+$47.25(+2374.4%)
H100 PCIe
80GB VRAM •
Not Available
IO.NETIO.NET
$1.70/hour
Updated: 2/20/2026
Best Price
H200
141GB VRAM •
CoreWeaveCoreWeave
$50.44/hour
8x GPU configuration
Updated: 2/21/2026
IO.NETIO.NET
$2.49/hour
Updated: 2/20/2026
Best Price
Price Difference:+$47.95(+1925.7%)
L40
40GB VRAM •
CoreWeaveCoreWeave
$10.00/hour
8x GPU configuration
Updated: 2/21/2026
Best Price
Not Available
L40S
48GB VRAM •
CoreWeaveCoreWeave
$18.00/hour
8x GPU configuration
Updated: 2/21/2026
Best Price
Not Available
RTX 4090
24GB VRAM •
Not Available
IO.NETIO.NET
$0.50/hour
Updated: 2/20/2026
Best Price

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

Get Started
  1. 1
    Create Account

    Sign up for CoreWeave Cloud platform access

  2. 2
    Choose GPU Instance

    Select from latest NVIDIA GPUs including H100, H200, and Blackwell architecture

  3. 3
    Deploy via Kubernetes

    Use Kubernetes-native tools for workload deployment and scaling

  1. 1
    Sign up for IO.NET

    Create an account on the IO.NET platform with no complex KYC requirements

  2. 2
    Acquire $IO tokens

    Purchase $IO tokens for compute payments or add other supported payment methods

  3. 3
    Choose deployment type

    Select from containers, Ray clusters, or bare metal based on your workload

  4. 4
    Configure cluster

    Specify GPU requirements, region preferences, and scaling options

  5. 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