Civo vs Cudo Compute

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

Civo logo

Civo

Provider 1

5
GPUs Available
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Cudo Compute logo

Cudo Compute

Provider 2

8
GPUs Available
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Comparison Overview

9
Total GPU Models
Civo logo
5
Civo GPUs
Cudo Compute logo
8
Cudo Compute GPUs
4
Direct Comparisons

Average Price Difference: $10.24/hour between comparable GPUs

GPU Pricing Comparison

Total GPUs: 9Both available: 4Civo: 5Cudo Compute: 8
Showing 9 of 9 GPUs
Last updated: 1/13/2026, 11:45:30 AM
A100 PCIE
40GB VRAM •
CivoCivo
$1.09/hour
Updated: 5/15/2025
Best Price
Cudo ComputeCudo Compute
$1.50/hour
Updated: 5/15/2025
Price Difference:$0.41(27.3%)
A100 SXM
80GB VRAM •
CivoCivo
$14.32/hour
8x GPU configuration
Updated: 12/17/2025
Cudo ComputeCudo Compute
$1.35/hour
Updated: 12/17/2025
Best Price
Price Difference:+$12.97(+960.7%)
A40
48GB VRAM •
Not Available
Cudo ComputeCudo Compute
$0.35/hour
Updated: 12/17/2025
Best Price
H100
80GB VRAM •
CivoCivo
$19.92/hour
8x GPU configuration
Updated: 12/17/2025
Cudo ComputeCudo Compute
$1.79/hour
Updated: 12/17/2025
Best Price
Price Difference:+$18.13(+1012.8%)
H200
141GB VRAM •
CivoCivo
$27.92/hour
8x GPU configuration
Updated: 12/17/2025
Best Price
Not Available
L40S
48GB VRAM •
CivoCivo
$10.32/hour
8x GPU configuration
Updated: 12/17/2025
Cudo ComputeCudo Compute
$0.87/hour
Updated: 12/17/2025
Best Price
Price Difference:+$9.45(+1086.2%)
RTX A5000
24GB VRAM •
Not Available
Cudo ComputeCudo Compute
$0.29/hour
Updated: 12/17/2025
Best Price
RTX A6000
48GB VRAM •
Not Available
Cudo ComputeCudo Compute
$0.45/hour
Updated: 12/17/2025
Best Price
Tesla V100
32GB VRAM •
Not Available
Cudo ComputeCudo Compute
$0.19/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

Cudo Compute

  • GPU-first cloud

    On-demand and reserved GPU capacity with models ranging from V100 and A40 to L40S, A800, A100 80 GB, and H100 SXM

  • Cluster and bare metal options

    Deploy VMs, dedicated bare metal, or multi-node GPU clusters for training and inference

  • Global data center catalog

    Marketplace view with locations in the UK, US, Nordics, and Africa plus renewable energy indicators

  • API and automation

    REST API and documented workflows for provisioning, scaling, and lifecycle automation

  • Enterprise focus

    Supports sovereignty requirements with regional choice, private networking, and support for reserved capacity

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

Cudo Compute

Advantages
  • Wide GPU lineup including flagship H100 and A100 alongside cost-effective V100/A40/L40S options
  • Data center coverage across UK, US, Nordics, and Africa for latency and sovereignty needs
  • Transparent per-GPU pricing with visible commit-term discounts in the catalog
  • Choice of VMs, bare metal, and clusters for different performance and tenancy needs
Considerations
  • Smaller managed service ecosystem than hyperscalers
  • GPU availability varies by data center and model
  • Account approval may be required for larger reservations

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.

Cudo Compute

GPU Cloud

On-demand and reserved GPU VMs with configurable vCPU, memory, and storage.

  • Supports NVIDIA GPUs from V100 through H100 with per-GPU pricing
  • Elastic storage and IPv4 reservation per instance
Virtual Machines

CPU and GPU-backed VMs for general workloads and AI inference.

  • Multiple CPU families and memory/vCPU ratios
  • Attach GPUs as needed for acceleration
Bare Metal and Clusters

Dedicated servers and multi-node GPU clusters for high-performance training and rendering.

  • Supports H100, A100 80 GB, L40S, and A800 cluster builds
  • Commitment options for capacity guarantees and better rates

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

Cudo Compute

On-demand GPU VMs

Hourly per-GPU pricing with published rates by data center and GPU model

Reserved Capacity

Commitment-based discounts across multiple term lengths for predictable spend and guaranteed supply

Bare Metal and Cluster Quotes

Dedicated hardware and multi-node clusters priced per reservation with private networking options

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

Cudo Compute

Get Started
  1. 1
    Create an account

    Sign up and log into the Cudo Compute console.

  2. 2
    Choose a data center

    Pick a location such as Manchester, Stockholm, Kristiansand, Lagos, or US regions to meet latency and sovereignty needs.

  3. 3
    Select hardware

    Pick your GPU model (e.g., H100, A100 80 GB, L40S, A800, V100) and configure vCPUs, RAM, and storage.

  4. 4
    Launch a VM or cluster

    Deploy a single VM, bare-metal server, or scale out with clusters from the console or API.

  5. 5
    Secure and monitor

    Attach networking, reserve IPv4, and monitor usage through the dashboard or API endpoints.

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.

Cudo Compute

Global Regions

Data centers listed across Manchester (UK), Stockholm and Kristiansand (Nordics), Lagos (Nigeria), and US sites including Carlsbad, Dallas, and New York, with additional locations in the catalog.

Support

Documentation, tutorials, and API reference; sales and support contacts with phone booking plus community channels like Discord.