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GPUniq vs Hyperstack: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for GPUniq and Hyperstack. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Provider type
Marketplace
Specialist
Founded
2023
2022
Headquarters
Various
London, UK
Billing model
Per-second (marketplace)
On-demand (per-minute), Reserved, Spot VMs
Min commitment
None
None
Support tier
Standard
Standard → Enterprise
Regions
1 regions
3 regions

Strengths & Best For

GPUniq

GPUniq is a live GPU marketplace offering a wide range of hardware including NVIDIA B200 192GB, H200 141GB, H100 80GB, A100 80GB, and RTX 4090 with per-second billing. Prices are dynamic and set by marketplace supply and demand — observed minimums range from $0.48/hr (A100) to $9.42/hr (B200). The marketplace model means pricing can be significantly below fixed-rate providers during low-demand periods. A strong option for teams that want access to next-generation hardware (B200, H200) at marketplace rates.

Strengths
  • B200 192GB and H200 141GB availability
  • Per-second billing — pay only for what you use
  • Dynamic marketplace pricing — can be well below fixed rates
  • Wide GPU catalog from RTX 4090 to B200
Weaknesses
  • Marketplace model — prices and availability fluctuate
  • No guaranteed availability for specific GPU models
  • Newer provider — limited public track record
Best For
Teams wanting B200 or H200 at marketplace ratesCost-sensitive workloads with flexible schedulingShort-burst GPU jobs benefiting from per-second billing
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GPUniq Rating

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Hyperstack

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.

Strengths
  • 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
Weaknesses
  • 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)
Best For
Enterprise AI teams wanting latest Blackwell hardwareEU/NA teams needing renewable-energy GPU computeTeams wanting managed Kubernetes with GPU VMsCost-sensitive teams using reservation discounts
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Hyperstack Rating

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Live GPU Pricing

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Region Coverage

Hyperstack — 3 regions
EU-WestEU-CentralUS-East

Popular Comparisons

Key differences

GPUniq

GPU marketplace — B200, H200, H100, A100, RTX 4090 with per-second billing

Hyperstack

B300, B200, H200, H100 — per-minute billing, 100% renewable energy

AttributeGPUniqHyperstack
Provider typemarketplacespecialist
Billing modelPer-second (marketplace)On-demand (per-minute), Reserved, Spot VMs
Min commitmentNoneNone
Regions1 (Various)3 (EU-West, EU-Central, US-East)
Support tierStandardStandard → Enterprise
Best forTeams wanting B200 or H200 at marketplace rates, Cost-sensitive workloads with flexible schedulingEnterprise AI teams wanting latest Blackwell hardware, EU/NA teams needing renewable-energy GPU compute
Founded / HQ2023 · Various2022 · London, UK