Hyperstack vs Vultr: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Hyperstack and Vultr. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Hyperstack (by NexGen Cloud) is a full-stack AI cloud offering NVIDIA GB200 NVL72, GB300 NVL72, HGX B200, HGX B300, H200 SXM, H100 SXM, H100 NVLink, H100 PCIe, A100 SXM, A100, L40, RTX A6000, RTX A4000, and RTX Pro 6000 SE instances with per-minute billing. Reservation and spot VMs available. 100% renewable energy. Managed Kubernetes, object storage, Terraform, Go/Python SDKs, LLM Inference Toolkit.
- B300, B200, H200 — competitive Blackwell and Hopper pricing
- A4000 — cheapest enterprise GPU for light workloads
- Per-minute billing — pay only for what you use
- 100% renewable energy across all data centers
- Wide GPU catalog: 13 SKUs from A4000 to GB300 NVL72
- Managed Kubernetes, Terraform, Go/Python SDKs, LLM Inference Toolkit
- Smaller provider — limited scale vs CoreWeave or hyperscalers
- Fewer regions than major cloud providers
- B300 on-demand not yet available (reserved private clusters only as of Sept 2026)
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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
Hyperstack
B300, B200, H200, H100 — per-minute billing, 100% renewable energy
Vultr
H100, A100, L40S, RTX 4000/6000 Ada — simple hourly billing across 32 global locations