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Google Cloud vs Nebius AI: GPU Compute Price Comparison

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Google Cloud and Nebius AI. Updated July 2026.

Provider Overview

Provider type
Hyperscaler
Specialist
Founded
2008
2023
Headquarters
Sunnyvale, CA
Amsterdam, Netherlands
Billing model
On-demand, Committed Use (1yr/3yr), Spot/Preemptible
On-demand, Spot, Reserved
Min commitment
None (on-demand)
None
Support tier
Basic → Premium
Standard → Enterprise
Regions
5 regions
2 regions

Strengths & Best For

Google Cloud

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.

Strengths
  • Sustained use discounts
  • Vertex AI integration
  • TPU availability
  • Strong networking
Best For
ML training pipelinesTensorFlow workloadsTeams using GCP services
Visit Google Cloud
Nebius AI

Nebius AI (formerly Yandex Cloud international) is a European AI-focused cloud offering H100, H200, and A100 GPU clusters with competitive pricing and full EU data residency for GDPR-compliant AI training and inference. On-demand, spot, and reserved billing options are available, making it one of the most flexible European GPU cloud choices for cost-sensitive teams. A strong alternative to hyperscalers for EU-based organizations that cannot send data outside European borders.

Strengths
  • EU data residency
  • Competitive H100/H200 pricing
  • Spot availability
  • GDPR compliant
Best For
EU-based AI teamsGDPR-sensitive workloadsCost-conscious training
Visit Nebius AI

Live GPU Pricing

No live pricing data available for these providers right now. View all live GPU prices →

Region Coverage

Google Cloud5 regions
us-central1us-east4europe-west4asia-east1asia-northeast1

Popular Comparisons

Google Cloudhyperscaler 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.

Nebius AIspecialist provider

Nebius AI (formerly Yandex Cloud international) is a European AI-focused cloud offering H100, H200, and A100 GPU clusters with competitive pricing and full EU data residency for GDPR-compliant AI training and inference. On-demand, spot, and reserved billing options are available, making it one of the most flexible European GPU cloud choices for cost-sensitive teams. A strong alternative to hyperscalers for EU-based organizations that cannot send data outside European borders.

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). Nebius AI uses On-demand, Spot, Reserved billing with a None minimum. Google Cloud's no-commitment on-demand model is more flexible for short-term or experimental workloads, while Nebius AI'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. Nebius AI is best suited for: EU-based AI teams, GDPR-sensitive workloads, Cost-conscious training. Its key strengths are eu data residency, competitive h100/h200 pricing, spot availability. As a hyperscaler, Google Cloud offers broader ecosystem integration and compliance certifications at a premium price. Nebius AI 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). Nebius AI offers Standard → Enterprise support across 2 regions (EU-West, US-East). 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 Nebius AI

Google Cloud was founded in 2008 and is headquartered in Sunnyvale, CA. Nebius AI was founded in 2023 and is headquartered in Amsterdam, Netherlands. Google Cloud has 15 years more operational history than Nebius AI, 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.