Google Cloud vs Sesterce: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Google Cloud and Sesterce. 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
Sesterce is a French GPU cloud offering one of the widest GPU selections in Europe — 26 GPU types including A30, A100, and H100 — across 11 EU regions, making it the broadest European GPU cloud for teams with diverse hardware requirements. On-demand and reserved billing options are available with competitive pricing for AI training, LLM fine-tuning, and inference workloads. A top choice for EU AI teams that need GPU variety and GDPR-compliant European data residency.
- 26 GPU types
- 11 regions
- EU-based infrastructure
- Competitive A30/A100 pricing
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.
Sesterce — specialist provider
Sesterce is a French GPU cloud offering one of the widest GPU selections in Europe — 26 GPU types including A30, A100, and H100 — across 11 EU regions, making it the broadest European GPU cloud for teams with diverse hardware requirements. On-demand and reserved billing options are available with competitive pricing for AI training, LLM fine-tuning, and inference workloads. A top choice for EU AI teams that need GPU variety and GDPR-compliant European data residency.
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). Sesterce uses On-demand, Reserved billing with a None minimum. Google Cloud's no-commitment on-demand model is more flexible for short-term or experimental workloads, while Sesterce'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. Sesterce is best suited for: EU AI teams, Wide GPU variety needs, Cost-sensitive European workloads. Its key strengths are 26 gpu types, 11 regions, eu-based infrastructure. As a hyperscaler, Google Cloud offers broader ecosystem integration and compliance certifications at a premium price. Sesterce 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). Sesterce offers Standard → Enterprise support across 4 regions (EU-West, EU-Central, US and 1 more). 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 Sesterce
Google Cloud was founded in 2008 and is headquartered in Sunnyvale, CA. Sesterce was founded in 2018 and is headquartered in Marseille, France. Google Cloud has 10 years more operational history than Sesterce, 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.