Hyperstack vs OpenRelay: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Hyperstack and OpenRelay. 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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OpenRelay offers on-demand cloud GPU instances and an OpenAI-compatible inference API, billed hourly with no commitment, quota, or reservation required.
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Key differences
Hyperstack
B300, B200, H200, H100 — per-minute billing, 100% renewable energy
OpenRelay
On-demand cloud GPUs and OpenAI-compatible inference, billed hourly with no commitment, quota, or reservation.