Civo vs Google Cloud

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

Civo logo

Civo

Provider 1

3
GPUs Available
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Google Cloud logo

Google Cloud

Provider 2

0
GPUs Available
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Comparison Overview

3
Total GPU Models
Civo logo
3
Civo GPUs
Google Cloud logo
0
Google Cloud GPUs
0
Direct Comparisons

GPU Pricing Comparison

Total GPUs: 3Both available: 0Civo: 3Google Cloud: 0
Showing 3 of 3 GPUs
Last updated: 12/6/2025, 8:15:04 PM
A100 PCIE
40GB VRAM •
CivoCivo
$1.09/hour
Updated: 5/15/2025
Best Price
Not Available
A100 SXM
80GB VRAM •
CivoCivo
$1.79/hour
Updated: 5/15/2025
Best Price
Not Available
L40S
48GB VRAM •
CivoCivo
$1.29/hour
Updated: 5/15/2025
Best Price
Not Available

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

Google Cloud

  • Compute Engine

    Scalable virtual machines with a wide range of machine types, including GPUs.

  • Google Kubernetes Engine (GKE)

    Managed Kubernetes service for deploying and managing containerized applications.

  • Cloud Functions

    Event-driven serverless compute platform.

  • Cloud Run

    Fully managed serverless platform for containerized applications.

  • Vertex AI

    Unified ML platform for building, deploying, and managing ML models.

  • Preemptible VMs

    Short-lived compute instances at a significant discount, suitable for fault-tolerant workloads.

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

Google Cloud

Advantages
  • Flexible pricing options, including sustained use discounts
  • Strong AI and machine learning tools (Vertex AI)
  • Good integration with other Google services
  • Cutting-edge Kubernetes implementation (GKE)
Considerations
  • Limited availability in some regions compared to AWS
  • Complexity in managing resources
  • Support can be costly

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.

Google Cloud

Compute Engine

Offers customizable virtual machines running in Google's data centers.

Google Kubernetes Engine (GKE)

Managed Kubernetes service for running containerized applications.

  • Automated Kubernetes operations
  • Integration with Google Cloud services
Cloud Functions

Serverless compute platform for running code in response to events.

  • Automatic scaling and high availability
  • Pay only for the compute time consumed

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

Google Cloud

On-Demand

Pay for compute capacity per hour or per second, with no long-term commitments.

Sustained Use Discounts

Automatic discounts for running instances for a significant portion of the month.

Committed Use Discounts

Save up to 57% with a 1-year or 3-year commitment to a minimum level of resource usage.

Preemptible VMs

Save up to 80% for fault-tolerant workloads that can be interrupted.

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

Google Cloud

Get Started
  1. 1
    Create a Google Cloud project

    Set up a project in the Google Cloud Console.

  2. 2
    Enable billing

    Set up a billing account to pay for resource usage.

  3. 3
    Choose a compute service

    Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.

  4. 4
    Create and configure an instance

    Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.

  5. 5
    Manage resources

    Use the Cloud Console, command-line tools, or APIs to manage your resources.

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.

Google Cloud

Global Regions

40+ regions and 120+ zones worldwide.

Support

Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.