Leafcloud vs Atlas Cloud: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Leafcloud and Atlas Cloud. Updated July 2026.
Provider Overview
Strengths & Best For
Leafcloud is a Dutch sustainable cloud provider that reuses server waste heat to warm buildings, offering GPU compute with 100% renewable energy and GDPR-compliant EU data residency for environmentally conscious AI teams. On-demand billing and a strong sustainability mission make it one of the most genuinely green GPU cloud options in Europe. A top choice for Dutch and EU-based organizations that want to minimize the environmental impact of their AI training and inference workloads.
- Waste heat reuse
- Sustainable compute
- GDPR compliant
- Dutch presence
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. 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. A top choice for sustainability-focused teams that want green GPU compute without sacrificing performance.
- 100% renewable energy
- Competitive H100 pricing
- Low latency to Europe
Live GPU Pricing
Region Coverage
Popular Comparisons
Leafcloud — specialist provider
Leafcloud is a Dutch sustainable cloud provider that reuses server waste heat to warm buildings, offering GPU compute with 100% renewable energy and GDPR-compliant EU data residency for environmentally conscious AI teams. On-demand billing and a strong sustainability mission make it one of the most genuinely green GPU cloud options in Europe. A top choice for Dutch and EU-based organizations that want to minimize the environmental impact of their AI training and inference workloads.
Atlas Cloud — specialist provider
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. 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. A top choice for sustainability-focused teams that want green GPU compute without sacrificing performance.
Billing model comparison
Leafcloud uses a On-demand billing model with a minimum commitment of None. Atlas Cloud uses On-demand billing with a None minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.
Which workloads each provider suits best
Leafcloud is best suited for: Sustainability-focused teams, European AI workloads, GDPR-sensitive data. Its key strengths are waste heat reuse, sustainable compute, gdpr compliant. Atlas Cloud is best suited for: Sustainability-focused teams, European AI workloads, Training runs. Its key strengths are 100% renewable energy, competitive h100 pricing, low latency to europe. Both providers target similar workload profiles — the live pricing table above is the most reliable way to determine which offers better value for your specific GPU model and region requirements.
Support tiers and region coverage
Leafcloud offers Standard support across 2 regions (NL, EU). Atlas Cloud offers Standard support across 1 region (IS). Leafcloud's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Leafcloud vs Atlas Cloud
Leafcloud was founded in 2019 and is headquartered in Amsterdam, Netherlands. Atlas Cloud was founded in 2022 and is headquartered in Reykjavik, Iceland. Leafcloud has 3 years more operational history than Atlas Cloud, which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.