Civo vs IO.NET

Compare GPU pricing, features, and specifications between Civo and IO.NET cloud providers. Find the best deals for AI training, inference, and ML workloads.

Civo logo

Civo

Provider 1

5
GPUs Available
Visit Website
IO.NET logo

IO.NET

Provider 2

3
GPUs Available
Visit Website

Comparison Overview

6
Total GPU Models
Civo logo
5
Civo GPUs
IO.NET logo
3
IO.NET GPUs
2
Direct Comparisons

Average Price Difference: $21.68/hour between comparable GPUs

GPU Pricing Comparison

Total GPUs: 6Both available: 2Civo: 5IO.NET: 3
Showing 6 of 6 GPUs
Last updated: 1/13/2026, 11:10:01 AM
A100 PCIE
40GB VRAM •
CivoCivo
$1.09/hour
Updated: 5/15/2025
Best Price
Not Available
A100 SXM
80GB VRAM •
CivoCivo
$14.32/hour
8x GPU configuration
Updated: 12/17/2025
Best Price
Not Available
H100
80GB VRAM •
CivoCivo
$19.92/hour
8x GPU configuration
Updated: 12/17/2025
IO.NETIO.NET
$1.99/hour
Updated: 12/17/2025
Best Price
Price Difference:+$17.93(+901.0%)
H200
141GB VRAM •
CivoCivo
$27.92/hour
8x GPU configuration
Updated: 12/17/2025
IO.NETIO.NET
$2.49/hour
Updated: 12/17/2025
Best Price
Price Difference:+$25.43(+1021.3%)
L40S
48GB VRAM •
CivoCivo
$10.32/hour
8x GPU configuration
Updated: 12/17/2025
Best Price
Not Available
RTX 4090
24GB VRAM •
Not Available
IO.NETIO.NET
$0.50/hour
Updated: 12/17/2025
Best Price

Features Comparison

Civo

  • Fast Kubernetes

    K3s-based managed clusters that typically launch in under 90 seconds

  • GPU Cloud

    NVIDIA B200, H200, H100 (PCIe/SXM), L40S, and A100 options for AI training and inference

  • Public and Private Cloud

    Public regions plus private cloud with CivoStack and FlexCore appliances for sovereignty needs

  • Predictable Pricing

    Transparent hourly rates with no control-plane fees and straightforward egress costs

  • Developer Tooling

    CLI, API, Terraform provider, and Helm-ready clusters out of the box

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

Civo

Advantages
  • Very fast cluster provisioning and simple developer UX
  • Clear pricing with no managed control-plane charges
  • Range of modern NVIDIA GPUs including B200/H200
  • Supports both Kubernetes clusters and standalone GPU compute
Considerations
  • Smaller global region footprint than hyperscalers
  • GPU capacity can be limited depending on region
  • Fewer managed services compared to larger clouds

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

Civo

Managed Kubernetes

K3s-based managed Kubernetes with fast launch times and built-in load balancers, ingress, and CNI.

  • Clusters typically ready in under 90 seconds
  • Built-in CNI and ingress with no control-plane fee
GPU Compute

On-demand NVIDIA GPU instances for AI training, inference, and 3D 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

Civo

On-Demand GPU Instances

Hourly pricing for GPU compute with simple, per-accelerator rates

Pay-as-you-go Kubernetes

Node-based billing with free control plane and straightforward bandwidth pricing

Private Cloud Reservations

Dedicated CivoStack or FlexCore deployments for sovereignty and predictable spend

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

  1. 1
    Create an account

    Sign up and claim the trial credit to explore the platform

  2. 2
    Pick a region

    Choose London, Frankfurt, or New York for public cloud deployments

  3. 3
    Launch a cluster or GPU node

    Create a Kubernetes cluster or start GPU compute with your preferred accelerator

  4. 4
    Deploy your workload

    Use kubectl, Helm, or Civo CLI to ship apps or ML stacks

  5. 5
    Monitor and scale

    Scale node pools, add GPU nodes, and watch usage from the dashboard or API

  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

Civo

Global Regions

Public regions in London (LON1), Frankfurt (FRA1), and New York (NYC1); private cloud available globally via CivoStack/FlexCore.

Support

Documentation, community Slack, and ticketed/email support with account team options for enterprise customers.

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