Genesis Cloud vs Cerebrium: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Genesis Cloud and Cerebrium. 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
Cerebrium is a serverless ML infrastructure platform that deploys H100, A100, and T4 GPU workloads in seconds using custom containers, enabling real-time LLM inference and fine-tuned model serving without managing any infrastructure. Per-second billing and fast cold starts make it highly cost-efficient for bursty AI inference APIs and model deployment pipelines. A top choice for ML teams that want to ship production inference endpoints quickly with minimal DevOps overhead.
- Serverless deployment
- Fast cold starts
- Custom containers
- Simple pricing
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.
Cerebrium — specialist provider
Cerebrium is a serverless ML infrastructure platform that deploys H100, A100, and T4 GPU workloads in seconds using custom containers, enabling real-time LLM inference and fine-tuned model serving without managing any infrastructure. Per-second billing and fast cold starts make it highly cost-efficient for bursty AI inference APIs and model deployment pipelines. A top choice for ML teams that want to ship production inference endpoints quickly with minimal DevOps overhead.
Billing model comparison
Genesis Cloud uses a On-demand, Reserved billing model with a minimum commitment of None. Cerebrium 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. Cerebrium is best suited for: Real-time inference APIs, Model deployment, Serverless AI. Its key strengths are serverless deployment, fast cold starts, custom containers. 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). Cerebrium offers Standard support across 2 regions (US, EU). Both providers have comparable region coverage — choose based on which specific regions overlap with your user base or data residency requirements.
Provider background: Genesis Cloud vs Cerebrium
Genesis Cloud was founded in 2018 and is headquartered in Munich, Germany. Cerebrium was founded in 2022 and is headquartered in Cape Town, South Africa. Genesis Cloud has 4 years more operational history than Cerebrium, 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.