Hyperstack vs Zenlayer: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Hyperstack and Zenlayer. 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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Zenlayer is an edge cloud provider offering GPU instances and VPS across emerging markets in Asia, Middle East, Africa, and Latin America — regions underserved by major hyperscalers. On-demand GPU rental with competitive pricing makes it a practical choice for teams that need GPU compute close to users in emerging markets, or for AI inference workloads requiring low latency in APAC, MENA, or LATAM regions.
- Emerging market coverage — APAC, MENA, LATAM, Africa
- Edge GPU instances close to end users
- Competitive pricing in underserved regions
- VPS + GPU in one provider
- Smaller GPU catalog vs major providers
- Less mature ML tooling
- Support quality varies by region
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Key differences
Hyperstack
B300, B200, H200, H100 — per-minute billing, 100% renewable energy
Zenlayer
Edge GPU cloud with VPS and GPUs across emerging markets