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Hyperstack vs Paperspace: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2022
2014
Headquarters
London, UK
New York, NY
Billing model
On-demand (per-minute), Reserved, Spot VMs
On-demand, Monthly, Reserved (3yr)
Min commitment
None
None
Support tier
Standard → Enterprise
Community → Growth
Regions
3 regions
3 regions

Strengths & Best For

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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Paperspace

Paperspace (now part of DigitalOcean) offers A100, H100, A6000, A5000, A4000, and RTX 5000 GPU instances alongside Gradient, its managed ML platform with Jupyter notebooks, experiment tracking, and one-click model deployment. Monthly dedicated options available. Gradient plans include a Free tier through paid tiers. A beginner-friendly on-demand GPU cloud with a polished notebook-centric experience, now integrated into the DigitalOcean ecosystem.

Strengths
  • Gradient managed ML platform with Jupyter notebooks
  • Simple UI and beginner-friendly onboarding
  • H100 on-demand availability
  • Free tier available for beginners
  • DigitalOcean ecosystem integration
Weaknesses
  • Acquired by DigitalOcean — Gradient product direction uncertain
  • Limited GPU catalog vs specialist providers
  • Notebook-centric UX not ideal for production pipelines
Best For
ML beginners and studentsNotebook-based workflowsSmall teams wanting managed ML platformTeams already on DigitalOcean
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Live GPU Pricing

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Region Coverage

Hyperstack — 3 regions
EU-WestEU-CentralUS-East
Paperspace — 3 regions
US-EastUS-WestEU-West

Popular Comparisons

Key differences

Hyperstack

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

Paperspace

ML platform with Gradient notebooks and GPU instances — now part of DigitalOcean

AttributeHyperstackPaperspace
Provider typespecialistspecialist
Billing modelOn-demand (per-minute), Reserved, Spot VMsOn-demand, Monthly, Reserved (3yr)
Min commitmentNoneNone
Regions3 (EU-West, EU-Central, US-East)3 (US-East, US-West, EU-West)
Support tierStandard → EnterpriseCommunity → Growth
Best forEnterprise AI teams wanting latest Blackwell hardware, EU/NA teams needing renewable-energy GPU computeML beginners and students, Notebook-based workflows
Founded / HQ2022 · London, UK2014 · New York, NY