Overview
Strengths & Best For
Velokey provides H100, A100, and RTX GPU cloud instances with low-latency provisioning and competitive on-demand pricing for AI and ML workloads, making it easy to spin up GPU compute quickly for training runs and inference experiments. Fast provisioning and straightforward billing lower the barrier to entry for AI startups and developers who need quick access to professional NVIDIA hardware. A practical on-demand GPU cloud for teams that value speed of provisioning and transparent pricing.
- Fast provisioning
- Competitive pricing
- Low latency
- Very small provider — limited scale
- No enterprise SLAs
- Limited documentation and support resources
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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
Velokey
Fast GPU cloud
Vultr
H100, A100, L40S, RTX 4000/6000 Ada — simple hourly billing across 32 global locations