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Google Cloud vs Elastx: GPU Compute Price Comparison

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

Provider Overview

Provider type
Hyperscaler
Specialist
Founded
2008
2012
Headquarters
Sunnyvale, CA
Stockholm, Sweden
Billing model
On-demand, Committed Use (1yr/3yr), Spot/Preemptible
On-demand
Min commitment
None (on-demand)
None
Support tier
Basic → Premium
Standard
Regions
5 regions
1 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
Elastx

Elastx is a Swedish cloud provider offering GPU instances with Swedish data sovereignty, GDPR compliance, and renewable energy infrastructure for Nordic AI teams with strict data residency requirements. On-demand billing and Swedish data centers make it a reliable choice for Scandinavian enterprises running AI and ML workloads that cannot leave Nordic borders. A strong sovereign cloud option for Swedish and Nordic organizations that prioritize data residency, sustainability, and European compliance.

Strengths
  • Swedish data centers
  • GDPR compliance
  • Renewable energy
Best For
Swedish/Nordic teamsGDPR workloadsSustainable compute
Visit Elastx

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.

Elastxspecialist provider

Elastx is a Swedish cloud provider offering GPU instances with Swedish data sovereignty, GDPR compliance, and renewable energy infrastructure for Nordic AI teams with strict data residency requirements. On-demand billing and Swedish data centers make it a reliable choice for Scandinavian enterprises running AI and ML workloads that cannot leave Nordic borders. A strong sovereign cloud option for Swedish and Nordic organizations that prioritize data residency, sustainability, and European compliance.

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). Elastx 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 Elastx'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. Elastx is best suited for: Swedish/Nordic teams, GDPR workloads, Sustainable compute. Its key strengths are swedish data centers, gdpr compliance, renewable energy. As a hyperscaler, Google Cloud offers broader ecosystem integration and compliance certifications at a premium price. Elastx 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). Elastx offers Standard support across 1 region (SE). 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 Elastx

Google Cloud was founded in 2008 and is headquartered in Sunnyvale, CA. Elastx was founded in 2012 and is headquartered in Stockholm, Sweden. Google Cloud has 4 years more operational history than Elastx, 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.