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Nscale vs Runcrate: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2022
2024
Headquarters
London, UK
US
Billing model
Enterprise contracts (contact sales)
Per-second on-demand
Min commitment
Enterprise minimum
None
Support tier
Standard → Enterprise
Standard
Regions
4 regions
3 regions

Strengths & Best For

Nscale

Nscale filed for IPO in September 2026 and is building full-stack AI infrastructure powering the world's most powerful AI systems. Data centers: Glomfjord Norway, Narvik Norway, Loughton UK, Texas US, plus partner-run sites in Sines Portugal, Keflavik Iceland, Stavanger Norway, Oslo Norway, Blönduós Iceland, Hayes UK, North Carolina US, and West Virginia US. Products: Nscale Cloud (managed platform with inference endpoints, fine-tuning, Kubernetes, Slurm, IAM), Nscale Infrastructure (dedicated GPU/CPU, fast networking, storage), Nscale Data Centers (modular, liquid-cooled, low PUE), and Nscale Energy (behind-the-meter power, microgrid islands). Partnerships: Figure (physical AI), Aker ASA, G Squared. UK AI Minister endorsement. Fidji Simo joined board September 2026.

Strengths
  • IPO filing Sept 2026 — rapidly scaling AI infrastructure company
  • Data centers in Norway, UK, Texas, Iceland, Portugal — renewable energy focus
  • Full-stack: inference, fine-tuning, Kubernetes, Slurm, IAM in one platform
  • Figure partnership for physical AI infrastructure
  • Modular, liquid-cooled data centers with low PUE
  • UK AI Minister endorsement — sovereign AI credentials
Weaknesses
  • No public self-serve pricing — contact sales required
  • Newer provider — ecosystem still maturing
  • IPO process may create uncertainty
Best For
Enterprise AI teams needing dedicated GPU infrastructureUK/EU organizations with data sovereignty requirementsPhysical AI and robotics workloadsTeams wanting full-stack AI cloud with managed services
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Runcrate

Runcrate is a GPU cloud founded in 2024 offering on-demand instances with per-second billing and no minimum commitment — the meter stops the moment you stop the instance. The platform aggregates GPU capacity across eight global regions spanning North America, Europe, and Asia, covering 14 GPU models from RTX A6000 and A100 through H100 and RTX PRO 6000. Full root access via SSH, Docker support, and custom images are included on every instance. An OpenAI-compatible inference API serves open-source models billed per token, and reserved or dedicated capacity is available for teams with monthly volume commitments.

Strengths
  • Per-second billing — no minimum commitment
  • OpenAI-compatible inference API
  • 14 GPU models including H100 and RTX PRO 6000
  • 8 global regions across NA, EU, and Asia
  • Full root SSH access with Docker and custom images
  • Reserved and dedicated capacity available
Weaknesses
  • No enterprise SLAs or uptime guarantees
  • Smaller provider — limited scale vs hyperscalers
  • No managed platform or containers
Best For
Teams needing flexible per-second GPU billingOpen-source model inference via APIMulti-region GPU workloadsCost-sensitive on-demand training and fine-tuning
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Region Coverage

Nscale — 4 regions
EU-North (Norway)EU-West (UK)US-South (Texas)EU-North (Iceland)

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Key differences

Nscale

IPO filing Sept 2026 — full-stack AI cloud with data centers in Norway, UK, Texas, and Iceland

Runcrate

GPU cloud with per-second billing and an OpenAI-compatible inference API

AttributeNscaleRuncrate
Provider typespecialistspecialist
Billing modelEnterprise contracts (contact sales)Per-second on-demand
Min commitmentEnterprise minimumNone
Regions4 (EU-North (Norway), EU-West (UK), US-South (Texas), +1)3 (US, EU, APAC)
Support tierStandard → EnterpriseStandard
Best forEnterprise AI teams needing dedicated GPU infrastructure, UK/EU organizations with data sovereignty requirementsTeams needing flexible per-second GPU billing, Open-source model inference via API
Founded / HQ2022 · London, UK2024 · US