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Atlas Cloud vs Runcrate: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2022
2024
Headquarters
Reykjavik, Iceland
US
Billing model
On-demand
Per-second on-demand
Min commitment
None
None
Support tier
Standard
Standard
Regions
1 regions
3 regions

Strengths & Best For

Atlas Cloud

Atlas Cloud is an Iceland-based GPU cloud offering H100 and A100 instances powered by 100% renewable geothermal energy, combining high-performance AI compute with a genuinely carbon-neutral infrastructure footprint. Iceland's naturally cold climate enables free air cooling, reducing PUE to near 1.0 and cutting energy costs. Competitive on-demand pricing and low-latency connectivity to Europe make it an attractive sustainable GPU cloud for EU-based AI training and inference workloads.

Strengths
  • 100% geothermal renewable energy — genuinely carbon-neutral
  • Near-1.0 PUE via Iceland's natural cold-air cooling
  • Competitive H100 and A100 pricing
  • Low latency to European regions
Weaknesses
  • Single-region (Iceland) — no US or APAC coverage
  • Smaller provider — limited cluster scale
  • Less mature ML tooling vs CoreWeave or Lambda
Best For
Sustainability-focused AI teamsEU AI training with ESG requirementsLong-running training runs needing low energy cost
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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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Key differences

Atlas Cloud

Icelandic green GPU cloud — H100 and A100 on 100% geothermal renewable energy

Runcrate

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

AttributeAtlas CloudRuncrate
Provider typespecialistspecialist
Billing modelOn-demandPer-second on-demand
Min commitmentNoneNone
Regions1 (IS)3 (US, EU, APAC)
Support tierStandardStandard
Best forSustainability-focused AI teams, EU AI training with ESG requirementsTeams needing flexible per-second GPU billing, Open-source model inference via API
Founded / HQ2022 · Reykjavik, Iceland2024 · US