Google Cloud vs Cleura: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Google Cloud and Cleura. Updated July 2026.
Provider Overview
Strengths & Best For
Google Cloud provides A100 and H100 GPU instances via Compute Engine and Vertex AI, with sustained use discounts and committed use contracts that can significantly cut hourly GPU rental costs. TPU v4 and v5 accelerators are also available for TensorFlow and JAX workloads, giving teams a unique alternative to NVIDIA hardware. Spanning 30+ regions, it is the top choice for ML pipelines deeply integrated with the TensorFlow and Google ecosystem.
- Sustained use discounts
- Vertex AI integration
- TPU availability
- Strong networking
Cleura is a European sovereign cloud provider offering GPU compute with full GDPR compliance, EU data sovereignty, and a sustainability focus across Swedish and EU data centers. On-demand billing and a commitment to renewable energy make it a responsible choice for European enterprises running AI workloads with strict data residency and ESG requirements. A strong option for EU organizations that need sovereign cloud infrastructure with GPU capabilities and verifiable sustainability credentials.
- GDPR compliance
- Data sovereignty
- Sustainable infrastructure
- European presence
Live GPU Pricing
Region Coverage
Popular Comparisons
Google Cloud — hyperscaler provider
Google Cloud provides A100 and H100 GPU instances via Compute Engine and Vertex AI, with sustained use discounts and committed use contracts that can significantly cut hourly GPU rental costs. TPU v4 and v5 accelerators are also available for TensorFlow and JAX workloads, giving teams a unique alternative to NVIDIA hardware. Spanning 30+ regions, it is the top choice for ML pipelines deeply integrated with the TensorFlow and Google ecosystem.
Cleura — specialist provider
Cleura is a European sovereign cloud provider offering GPU compute with full GDPR compliance, EU data sovereignty, and a sustainability focus across Swedish and EU data centers. On-demand billing and a commitment to renewable energy make it a responsible choice for European enterprises running AI workloads with strict data residency and ESG requirements. A strong option for EU organizations that need sovereign cloud infrastructure with GPU capabilities and verifiable sustainability credentials.
Billing model comparison
Google Cloud uses a On-demand, Committed Use (1yr/3yr), Spot/Preemptible billing model with a minimum commitment of None (on-demand). Cleura uses On-demand billing with a None minimum. Google Cloud's no-commitment on-demand model is more flexible for short-term or experimental workloads, while Cleura's commitment requirement suits teams with predictable long-running jobs.
Which workloads each provider suits best
Google Cloud is best suited for: ML training pipelines, TensorFlow workloads, Teams using GCP services. Its key strengths are sustained use discounts, vertex ai integration, tpu availability. Cleura is best suited for: European enterprises, GDPR-sensitive workloads, Sustainable AI. Its key strengths are gdpr compliance, data sovereignty, sustainable infrastructure. As a hyperscaler, Google Cloud offers broader ecosystem integration and compliance certifications at a premium price. Cleura as a specialist provider typically offers lower per-GPU rates for teams that don't need the full hyperscaler ecosystem.
Support tiers and region coverage
Google Cloud offers Basic → Premium support across 5 regions (us-central1, us-east4, europe-west4 and 2 more). Cleura offers Standard support across 2 regions (SE, EU). Google Cloud's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Google Cloud vs Cleura
Google Cloud was founded in 2008 and is headquartered in Sunnyvale, CA. Cleura was founded in 2020 and is headquartered in Stockholm, Sweden. Google Cloud has 12 years more operational history than Cleura, 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.