Google Cloud vs Gonka: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Google Cloud and Gonka. 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
Gonka is a European GPU cloud offering H100 and A100 instances with competitive on-demand pricing and flexible billing options for AI training and inference workloads across EU data centers. Straightforward pricing and European data center presence make it accessible for EU-based teams that need GDPR-compliant GPU compute without enterprise contracts. A no-frills European on-demand GPU cloud for AI teams that want simple, transparent pricing and EU data residency.
- Competitive pricing
- Flexible billing
- 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.
Gonka — specialist provider
Gonka is a European GPU cloud offering H100 and A100 instances with competitive on-demand pricing and flexible billing options for AI training and inference workloads across EU data centers. Straightforward pricing and European data center presence make it accessible for EU-based teams that need GDPR-compliant GPU compute without enterprise contracts. A no-frills European on-demand GPU cloud for AI teams that want simple, transparent pricing and EU 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). Gonka 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 Gonka'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. Gonka is best suited for: AI training, Inference workloads, European teams. Its key strengths are competitive pricing, flexible billing, european presence. As a hyperscaler, Google Cloud offers broader ecosystem integration and compliance certifications at a premium price. Gonka 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). Gonka offers Standard support across 1 region (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 Gonka
Google Cloud was founded in 2008 and is headquartered in Sunnyvale, CA. Gonka was founded in 2023 and is headquartered in Europe. Google Cloud has 15 years more operational history than Gonka, 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.