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Atlas Cloud vs Latitude.sh: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Bare-metal
Founded
2022
2020
Headquarters
Reykjavik, Iceland
São Paulo, Brazil
Billing model
On-demand
On-demand, Monthly (reserved), Yearly (reserved)
Min commitment
None
None
Support tier
Standard
Standard → Enterprise
Regions
1 regions
4 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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Latitude.sh

Latitude.sh provides bare-metal GPU servers with no virtualization overhead across 26 global regions. GPU catalog: HGX B300 (8×, 2304 GB VRAM, 800 Gbps dual-plane RoCE), RTX PRO 6000 (8×, 768 GB VRAM), H100 80GB. Monthly and yearly reserved pricing tiers are available at lower rates than on-demand hourly. 20 TB free outbound transfer per server. Automated bare-metal with Kubernetes (LKS), virtual machines, managed Postgres, and private networking. SOC 2 Type 2 certified. AMD EPYC Gen 4 CPUs with DDR5 RAM and NVMe storage.

Strengths
  • HGX B300 (8-GPU) — latest Blackwell bare-metal
  • RTX PRO 6000 (8-GPU) — 768 GB VRAM for large inference
  • H100 — competitive single-GPU bare-metal
  • 20 TB free outbound transfer per server
  • 26 global regions including Brazil (LATAM coverage)
  • Monthly and yearly reserved pricing tiers available
Weaknesses
  • Bare-metal only — no managed Kubernetes or MLOps tooling beyond LKS
  • Limited GPU catalog (3 GPU SKUs)
  • Fewer regions than hyperscalers
Best For
Performance-critical workloads needing bare-metalLatency-sensitive inference with no virtualization overheadLATAM teams needing Brazil regionTeams wanting automated bare-metal with Kubernetes
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Live GPU Pricing

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Region Coverage

Latitude.sh — 4 regions
US-EastEU-WestBR-SouthVarious (26 regions)

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Key differences

Atlas Cloud

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

Latitude.sh

HGX B300, RTX PRO 6000, H100 — bare-metal in 26 regions

AttributeAtlas CloudLatitude.sh
Provider typespecialistbare-metal
Billing modelOn-demandOn-demand, Monthly (reserved), Yearly (reserved)
Min commitmentNoneNone
Regions1 (IS)4 (US-East, EU-West, BR-South, +1)
Support tierStandardStandard → Enterprise
Best forSustainability-focused AI teams, EU AI training with ESG requirementsPerformance-critical workloads needing bare-metal, Latency-sensitive inference with no virtualization overhead
Founded / HQ2022 · Reykjavik, Iceland2020 · São Paulo, Brazil