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
Ori Cloud is a UK-based enterprise GPU cloud offering H100, H200, A100, and L40S instances with EU data sovereignty and competitive spot GPU rental pricing for large-scale AI training and LLM workloads. On-demand, spot, and reserved billing options are available, giving UK and EU enterprises flexible access to flagship NVIDIA hardware within European borders. A strong choice for UK/EU organizations that need enterprise-grade GPU infrastructure with GDPR-compliant data residency.
- UK/EU data sovereignty
- H200 availability
- Enterprise SLAs
- Competitive spot pricing
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.
Ori Cloud — specialist provider
Ori Cloud is a UK-based enterprise GPU cloud offering H100, H200, A100, and L40S instances with EU data sovereignty and competitive spot GPU rental pricing for large-scale AI training and LLM workloads. On-demand, spot, and reserved billing options are available, giving UK and EU enterprises flexible access to flagship NVIDIA hardware within European borders. A strong choice for UK/EU organizations that need enterprise-grade GPU infrastructure with GDPR-compliant data residency.
Billing model comparison
AWS uses a On-demand, Reserved (1yr/3yr), Spot billing model with a minimum commitment of None (on-demand). Ori Cloud uses On-demand, Spot, Reserved billing with a None minimum. AWS's no-commitment on-demand model is more flexible for short-term or experimental workloads, while Ori Cloud'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. Ori Cloud is best suited for: UK/EU enterprise AI teams, GDPR-sensitive workloads, Large-scale training. Its key strengths are uk/eu data sovereignty, h200 availability, enterprise slas. As a hyperscaler, AWS offers broader ecosystem integration and compliance certifications at a premium price. Ori Cloud 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). Ori Cloud offers Standard → Enterprise support across 1 region (EU-West). 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 Ori Cloud
AWS was founded in 2006 and is headquartered in Seattle, WA. Ori Cloud was founded in 2021 and is headquartered in London, UK. AWS has 15 years more operational history than Ori Cloud, 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.