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

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

Overview

Provider type
Specialist
Hyperscaler
Founded
2022
2006
Headquarters
Reykjavik, Iceland
Seattle, WA
Billing model
On-demand
On-demand, Reserved (1yr/3yr), Spot, Savings Plans
Min commitment
None
None (on-demand)
Support tier
Standard
Basic → Enterprise
Regions
1 regions
5 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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Atlas Cloud Rating

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AWS

AWS EC2 P5 instances are powered by NVIDIA H100 Tensor Core GPUs (up to 8× H100, 640 GB HBM3, 3,200 Gbps EFA networking). P5e and P5en instances use NVIDIA H200 GPUs (up to 8× H200, 1,128 GB HBM3e). P5en adds Gen5 PCIe and third-generation EFA for 35% lower latency. All three families deploy in EC2 UltraClusters scaling to 20,000 GPUs with petabit-scale nonblocking networking delivering 20 exaflops aggregate. SageMaker HyperPod manages resilient training clusters at any scale. Amazon Bedrock provides serverless access to DeepSeek v3.2, MiniMax, Kimi 3, Z.AI GLM 5, and Writer Palmyra. 30+ global regions with enterprise SLAs.

Strengths
  • P5/P5e/P5en: H100 and H200 in UltraClusters up to 20,000 GPUs
  • 20 exaflops aggregate compute in EC2 UltraClusters
  • 3,200 Gbps EFA networking with GPUDirect RDMA
  • SageMaker HyperPod for resilient distributed training
  • Amazon Bedrock: serverless access to DeepSeek, MiniMax, Kimi, GLM, Palmyra
  • 30+ global regions with enterprise SLAs and compliance certifications
Weaknesses
  • Highest on-demand GPU rates among all providers
  • Complex pricing — on-demand vs reserved vs spot vs savings plans
  • GPU quota increases require support tickets and can take days
Best For
Hyperscale AI training requiring 1,000+ GPUsEnterprise workloads needing compliance (HIPAA, FedRAMP, SOC 2)Teams already invested in the AWS ecosystemProduction ML inference via SageMaker
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AWS Rating

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Region Coverage

AWS — 5 regions
us-east-1us-west-2eu-west-1ap-southeast-1ap-northeast-1

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Key differences

Atlas Cloud

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

AWS

P5 (H100), P5e/P5en (H200), UltraClusters up to 20,000 GPUs — hyperscale AI infrastructure

AttributeAtlas CloudAWS
Provider typespecialisthyperscaler
Billing modelOn-demandOn-demand, Reserved (1yr/3yr), Spot, Savings Plans
Min commitmentNoneNone (on-demand)
Regions1 (IS)5 (us-east-1, us-west-2, eu-west-1, +2)
Support tierStandardBasic → Enterprise
Best forSustainability-focused AI teams, EU AI training with ESG requirementsHyperscale AI training requiring 1,000+ GPUs, Enterprise workloads needing compliance (HIPAA, FedRAMP, SOC 2)
Founded / HQ2022 · Reykjavik, Iceland2006 · Seattle, WA