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
Provider 1
Google Cloud
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | Civo Price | Google Cloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Civo | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Civo | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
L40S 48GB VRAM • Civo | Not Available | — | ||
L40S 48GB VRAM • | ||||
A100 PCIE 40GB VRAM • Civo | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Civo | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
L40S 48GB VRAM • Civo | Not Available | — | ||
L40S 48GB VRAM • | ||||
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
Civo
- 1
Create an account
Sign up and claim the trial credit to explore the platform
- 2
Pick a region
Choose London, Frankfurt, or New York for public cloud deployments
- 3
Launch a cluster or GPU node
Create a Kubernetes cluster or start GPU compute with your preferred accelerator
- 4
Deploy your workload
Use kubectl, Helm, or Civo CLI to ship apps or ML stacks
- 5
Monitor and scale
Scale node pools, add GPU nodes, and watch usage from the dashboard or API
Google Cloud
- 1
Create a Google Cloud project
Set up a project in the Google Cloud Console.
- 2
Enable billing
Set up a billing account to pay for resource usage.
- 3
Choose a compute service
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
- 4
Create and configure an instance
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
- 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.
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