Overview
Strengths & Best For
Bentaus offers H100 and A100 GPU cloud instances for AI training and inference workloads with competitive on-demand and spot pricing. Fast provisioning, full root SSH access, and Docker support make it accessible for research teams and startups that need flagship NVIDIA hardware without enterprise contracts. Spot instances provide significant cost savings for interruptible batch workloads.
- H100 and A100 on-demand and spot
- Competitive spot pricing for batch workloads
- Fast provisioning with full root SSH access
- Small provider — limited GPU availability at scale
- No enterprise SLAs
- Limited regions and GPU SKU variety
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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
Bentaus
H100 and A100 GPU cloud — competitive on-demand and spot pricing
Vultr
H100, A100, L40S, RTX 4000/6000 Ada — simple hourly billing across 32 global locations