Genesis Cloud vs Beam: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Genesis Cloud and Beam. Updated July 2026.
Provider Overview
Strengths & Best For
Genesis Cloud is a European GPU cloud powered by 100% renewable energy from Iceland, offering H100, A100, RTX A6000, and L40S instances at competitive on-demand and reserved pricing for sustainable AI training and inference. EU data residency and GDPR compliance make it a strong choice for European teams with both performance and sustainability requirements. One of the greenest on-demand GPU cloud options available, combining carbon-neutral compute with professional-grade NVIDIA hardware.
- 100% renewable energy
- Competitive EU pricing
- Carbon-neutral compute
- EU data residency
Beam is a serverless GPU platform that lets developers deploy AI models and run H100, A100, and T4 compute jobs with automatic scaling and per-second pay-per-use billing — no infrastructure management required. A Python-native SDK and fast cold starts make it easy to build and ship LLM inference APIs, batch ML pipelines, and AI model serving endpoints quickly. A strong choice for Python-first teams that want serverless GPU infrastructure with predictable, usage-based pricing.
- Serverless model
- Auto-scaling
- Simple SDK
- Fast cold starts
Live GPU Pricing
Region Coverage
Popular Comparisons
Genesis Cloud — specialist provider
Genesis Cloud is a European GPU cloud powered by 100% renewable energy from Iceland, offering H100, A100, RTX A6000, and L40S instances at competitive on-demand and reserved pricing for sustainable AI training and inference. EU data residency and GDPR compliance make it a strong choice for European teams with both performance and sustainability requirements. One of the greenest on-demand GPU cloud options available, combining carbon-neutral compute with professional-grade NVIDIA hardware.
Beam — specialist provider
Beam is a serverless GPU platform that lets developers deploy AI models and run H100, A100, and T4 compute jobs with automatic scaling and per-second pay-per-use billing — no infrastructure management required. A Python-native SDK and fast cold starts make it easy to build and ship LLM inference APIs, batch ML pipelines, and AI model serving endpoints quickly. A strong choice for Python-first teams that want serverless GPU infrastructure with predictable, usage-based pricing.
Billing model comparison
Genesis Cloud uses a On-demand, Reserved billing model with a minimum commitment of None. Beam uses Per-second usage 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
Genesis Cloud is best suited for: Sustainability-focused teams, EU AI workloads, GDPR-sensitive training. Its key strengths are 100% renewable energy, competitive eu pricing, carbon-neutral compute. Beam is best suited for: Serverless AI inference, Batch processing, Python-first teams. Its key strengths are serverless model, auto-scaling, simple sdk. 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
Genesis Cloud offers Standard → Enterprise support across 2 regions (EU-North, EU-Central). Beam offers Standard support across 1 region (US). Genesis Cloud's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Genesis Cloud vs Beam
Genesis Cloud was founded in 2018 and is headquartered in Munich, Germany. Beam was founded in 2022 and is headquartered in New York, NY. Genesis Cloud has 4 years more operational history than Beam, 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.