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Hyperstack vs Northflank: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2022
2021
Headquarters
London, UK
London, UK
Billing model
On-demand (per-minute), Reserved, Spot VMs
On-demand
Min commitment
None
None
Support tier
Standard → Enterprise
Standard → Enterprise
Regions
3 regions
2 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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Northflank

Northflank is a developer-focused PaaS platform offering GPU compute (L4, A100 40GB, A100 80GB, H100 80GB, RTX PRO 6000) alongside managed containers, CI/CD pipelines, databases, and cron jobs — all in one platform. GPU instances are available on-demand in US and EU regions. The platform is designed for teams that want to run GPU workloads as part of a broader application stack without managing raw cloud infrastructure. A strong choice for ML engineers who want GPU compute tightly integrated with deployment, scheduling, and application services.

Strengths
  • GPU compute integrated with PaaS — containers, CI/CD, databases in one platform
  • H100 80GB and RTX PRO 6000 availability
  • US and EU regions
  • Developer-friendly platform with managed services
  • On-demand billing with no minimum commitment
Weaknesses
  • PaaS model — less control than raw GPU clouds
  • Higher per-GPU cost than bare infrastructure
  • Smaller GPU catalog than specialist GPU clouds
Best For
ML engineers wanting GPU + application platform in one productTeams running GPU workloads alongside web services and databasesStartups wanting managed GPU infrastructure without cloud ops overheadEU and US teams needing flexible GPU PaaS
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Key differences

Hyperstack

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

Northflank

PaaS GPU compute — L4, A100, H100, RTX PRO 6000 with managed containers and CI/CD

AttributeHyperstackNorthflank
Provider typespecialistspecialist
Billing modelOn-demand (per-minute), Reserved, Spot VMsOn-demand
Min commitmentNoneNone
Regions3 (EU-West, EU-Central, US-East)2 (US, EU)
Support tierStandard → EnterpriseStandard → Enterprise
Best forEnterprise AI teams wanting latest Blackwell hardware, EU/NA teams needing renewable-energy GPU computeML engineers wanting GPU + application platform in one product, Teams running GPU workloads alongside web services and databases
Founded / HQ2022 · London, UK2021 · London, UK