Nova Cloud vs Vultr: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Nova Cloud and Vultr. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Nova Cloud is a Canadian self-serve GPU rental platform with in-house datacenter infrastructure offering RTX 5090 and RTX PRO 6000 instances. Available at nova-cloud.ai.
- RTX 5090 availability
- RTX PRO 6000 availability
- In-house datacenter
- Canadian infrastructure
- Smaller provider — limited SKU selection
- No enterprise SLAs
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Vultr offers H100, A100, L40S, RTX 6000 Ada, and RTX 4000 Ada GPU instances across 32 global locations with simple hourly billing and no long-term commitment required. A developer-friendly GPU cloud with a clean API, straightforward pricing, and broad geographic coverage for teams needing AI inference or training capacity close to their users. Vultr Cloud GPU instances include dedicated VRAM, NVMe storage, and generous transfer allowances. A solid choice for global deployment of AI workloads without the complexity of hyperscaler pricing models.
- 32 global locations — wide geographic coverage among specialist GPU clouds
- Simple hourly billing — no long-term commitment
- H100, A100, L40S, RTX 6000/4000 Ada in catalog
- Clean API and developer-friendly onboarding
- Generous transfer allowances included
- Smaller GPU catalog than specialist AI clouds
- Less ML-focused tooling vs CoreWeave or Lambda
- Limited spot/preemptible GPU options
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Key differences
Nova Cloud
Canadian GPU cloud — RTX 5090 and RTX PRO 6000
Vultr
H100, A100, L40S, RTX 4000/6000 Ada — simple hourly billing across 32 global locations