Civo vs IBM Cloud
Compare GPU pricing, features, and specifications between Civo and IBM Cloud cloud providers. Find the best deals for AI training, inference, and ML workloads.
Civo
Provider 1
IBM Cloud
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | Civo Price | IBM 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
IBM Cloud
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
IBM Cloud
Advantages
- Strong focus on AI and data workloads
- Enterprise-grade support
- Integration with IBM's AI tools
Considerations
- Limited global presence compared to competitors
- Higher cost for some services
- Less community support
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.
IBM Cloud
IBM Virtual Servers for VPC
GPU‑accelerated virtual servers on IBM Cloud VPC.
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
IBM Cloud
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
IBM Cloud
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.
IBM Cloud
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