Provider Overview
Strengths & Best For
AWS offers on-demand, reserved, and spot GPU instances across EC2 P4d (A100), P5 (H100), and G6 (L40S) families, spanning 30+ global regions with enterprise SLAs and deep ML tooling via SageMaker. H100 and A100 clusters are available with InfiniBand networking for distributed LLM training and large-scale AI inference. The broadest ecosystem of any GPU cloud provider, making it the default choice for enterprises already invested in the AWS stack.
- Widest global region coverage
- Deep ecosystem integrations
- Enterprise SLAs
- Reserved instance discounts
Civo is a developer-focused cloud platform known for fast Kubernetes cluster provisioning and H100 and A100 GPU instances with simple on-demand pricing and a strong developer experience across UK, EU, and US regions. The combination of managed Kubernetes and GPU compute makes it easy to build and deploy AI inference workloads and model serving APIs without complex infrastructure setup. A practical GPU cloud for developers who want Kubernetes-native AI deployment with minimal operational overhead.
- Fast Kubernetes
- Simple pricing
- Developer-friendly
- UK/EU presence
Live GPU Pricing
Region Coverage
Popular Comparisons
AWS — hyperscaler provider
AWS offers on-demand, reserved, and spot GPU instances across EC2 P4d (A100), P5 (H100), and G6 (L40S) families, spanning 30+ global regions with enterprise SLAs and deep ML tooling via SageMaker. H100 and A100 clusters are available with InfiniBand networking for distributed LLM training and large-scale AI inference. The broadest ecosystem of any GPU cloud provider, making it the default choice for enterprises already invested in the AWS stack.
Civo — specialist provider
Civo is a developer-focused cloud platform known for fast Kubernetes cluster provisioning and H100 and A100 GPU instances with simple on-demand pricing and a strong developer experience across UK, EU, and US regions. The combination of managed Kubernetes and GPU compute makes it easy to build and deploy AI inference workloads and model serving APIs without complex infrastructure setup. A practical GPU cloud for developers who want Kubernetes-native AI deployment with minimal operational overhead.
Billing model comparison
AWS uses a On-demand, Reserved (1yr/3yr), Spot billing model with a minimum commitment of None (on-demand). Civo uses On-demand billing with a None minimum. AWS's no-commitment on-demand model is more flexible for short-term or experimental workloads, while Civo's commitment requirement suits teams with predictable long-running jobs.
Which workloads each provider suits best
AWS is best suited for: Enterprise workloads, Production ML inference, Teams already on AWS. Its key strengths are widest global region coverage, deep ecosystem integrations, enterprise slas. Civo is best suited for: Kubernetes workloads, European teams, Developer projects. Its key strengths are fast kubernetes, simple pricing, developer-friendly. As a hyperscaler, AWS offers broader ecosystem integration and compliance certifications at a premium price. Civo as a specialist provider typically offers lower per-GPU rates for teams that don't need the full hyperscaler ecosystem.
Support tiers and region coverage
AWS offers Basic → Enterprise support across 5 regions (us-east-1, us-west-2, eu-west-1 and 2 more). Civo offers Standard support across 3 regions (UK, EU, US). AWS's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: AWS vs Civo
AWS was founded in 2006 and is headquartered in Seattle, WA. Civo was founded in 2018 and is headquartered in London, UK. AWS has 12 years more operational history than Civo, which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.