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Atlas Cloud vs SF Compute: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2022
2023
Headquarters
Reykjavik, Iceland
San Francisco, CA
Billing model
On-demand
On-demand, Contract
Min commitment
None
None (on-demand); contract options available
Support tier
Standard
Standard
Regions
1 regions
1 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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SF Compute

SF Compute offers H100 SXM5 80GB GPU clusters with both short-term on-demand and longer-term contract pricing. The platform targets AI training and research teams that need reliable H100 access at competitive rates. October 2026 on-demand rate: $5.04/GPU-hr. SF Compute provides VMs, bare metal, and managed Slurm cluster options, making it flexible for different workflow types. A practical choice for teams that want H100 compute without the overhead of hyperscaler pricing.

Strengths
  • H100 SXM5 80GB at competitive on-demand rates
  • Bare metal and managed Slurm options
  • Short and long-term contract flexibility
  • US West region — low latency for West Coast teams
Weaknesses
  • Limited GPU catalog — primarily H100
  • Smaller provider — less geographic diversity
  • Less mature ecosystem vs established GPU clouds
Best For
AI training teams needing H100 clustersResearch teams wanting Slurm-managed GPU computeTeams comparing H100 on-demand rates across providers
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Region Coverage

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Key differences

Atlas Cloud

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

SF Compute

H100 cluster compute — contract and on-demand GPU access from $5.04/hr

AttributeAtlas CloudSF Compute
Provider typespecialistspecialist
Billing modelOn-demandOn-demand, Contract
Min commitmentNoneNone (on-demand); contract options available
Regions1 (IS)1 (US)
Support tierStandardStandard
Best forSustainability-focused AI teams, EU AI training with ESG requirementsAI training teams needing H100 clusters, Research teams wanting Slurm-managed GPU compute
Founded / HQ2022 · Reykjavik, Iceland2023 · San Francisco, CA