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Nscale vs TensorDock: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Marketplace
Founded
2022
2021
Headquarters
London, UK
Boston, MA
Billing model
Enterprise contracts (contact sales)
Per-second on-demand, Spot, Reserved
Min commitment
Enterprise minimum
None (minimum deposit required — check tensordock.com)
Support tier
Standard → Enterprise
Community → Pro
Regions
4 regions
4 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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TensorDock

TensorDock is a GPU cloud marketplace connecting users with independent hosts across 100+ global locations. 45+ GPU models from consumer RTX cards to HGX H100 SXM5, including H100 SXM5, A100 SXM4, and RTX 4090. Pay-per-second billing with no minimum commitments, no waitlists, and no quotas. Hosts compete on price, keeping rates among the lowest available. KVM virtualization with root access and dedicated GPUs. Windows 10 support. Voltage Park (merged with Lightning AI) is a TensorDock partner. Customers include Florida State University, airgpu, ELBO, and Creavite.

Strengths
  • H100 SXM — competitive H100 pricing
  • A100 SXM and RTX 4090 at competitive marketplace rates
  • Pay-per-second billing with no minimum commitment
  • 45+ GPU models from consumer to H100
  • 100+ global locations across 20+ countries
  • No waitlists or quotas — low minimum deposit to start
Weaknesses
  • Marketplace model — hardware quality varies by host
  • No enterprise SLAs or uptime guarantees
  • Limited support for complex distributed training
Best For
Budget AI training and fine-tuningBatch inference workloadsTeams needing wide GPU varietyResearchers avoiding waitlistsCost-sensitive multi-region deployments
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Region Coverage

Nscale — 4 regions
EU-North (Norway)EU-West (UK)US-South (Texas)EU-North (Iceland)
TensorDock — 4 regions
USEUAPACVarious (100+ locations, 20+ countries)

Popular Comparisons

Key differences

Nscale

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

TensorDock

H100 SXM, A100 SXM, RTX 4090 — 45 GPU types, 100+ locations

AttributeNscaleTensorDock
Provider typespecialistmarketplace
Billing modelEnterprise contracts (contact sales)Per-second on-demand, Spot, Reserved
Min commitmentEnterprise minimumNone (minimum deposit required — check tensordock.com)
Regions4 (EU-North (Norway), EU-West (UK), US-South (Texas), +1)4 (US, EU, APAC, +1)
Support tierStandard → EnterpriseCommunity → Pro
Best forEnterprise AI teams needing dedicated GPU infrastructure, UK/EU organizations with data sovereignty requirementsBudget AI training and fine-tuning, Batch inference workloads
Founded / HQ2022 · London, UK2021 · Boston, MA