Atlas Cloud vs Cyfuture AI: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Atlas Cloud and Cyfuture AI. Updated July 2026.
Provider Overview
Strengths & Best For
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
Cyfuture AI is an Indian cloud provider offering H100 and A100 GPU instances for AI and ML workloads with competitive pricing tailored to the South Asian market and local support for Indian enterprises. On-demand billing and India-based data centers make it a practical choice for Indian AI teams with data residency requirements or latency-sensitive inference workloads. A strong domestic option for Indian organizations that want GPU compute without routing data through international cloud providers.
- India presence
- Competitive pricing
- Local support
Live GPU Pricing
Region Coverage
Popular Comparisons
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.
Cyfuture AI — specialist provider
Cyfuture AI is an Indian cloud provider offering H100 and A100 GPU instances for AI and ML workloads with competitive pricing tailored to the South Asian market and local support for Indian enterprises. On-demand billing and India-based data centers make it a practical choice for Indian AI teams with data residency requirements or latency-sensitive inference workloads. A strong domestic option for Indian organizations that want GPU compute without routing data through international cloud providers.
Billing model comparison
Atlas Cloud uses a On-demand billing model with a minimum commitment of None. Cyfuture AI 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
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. Cyfuture AI is best suited for: Indian AI teams, South Asian workloads, Cost-sensitive projects. Its key strengths are india presence, competitive pricing, local support. 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
Atlas Cloud offers Standard support across 1 region (IS). Cyfuture AI offers Standard support across 1 region (IN). Both providers have comparable region coverage — choose based on which specific regions overlap with your user base or data residency requirements.
Provider background: Atlas Cloud vs Cyfuture AI
Atlas Cloud was founded in 2022 and is headquartered in Reykjavik, Iceland. Cyfuture AI was founded in 2001 and is headquartered in Noida, India. Cyfuture AI has 21 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.