AWS vs Azure: AI & ML (gpu) Comparaison des prix

AWS vs Azure: AI & ML (gpu) Comparaison des prix

Comparer AWS prix entre Azure ai & ml (gpu) toutes les régions et types d’instances. Cette page fournit une comparaison complète des prix dans toutes les principales régions, y compris les options à la demande, réservées et Spot.

Comparaison des prix

Taille d’instanceAWSAzureDifférence
2 vCPU / 8 GB$0.0960$0.09600.0%
4 vCPU / 16 GB$0.1920$0.19200.0%
8 vCPU / 32 GB$0.3840$0.38400.0%
16 vCPU / 64 GB$0.7680$0.76800.0%

Comparaison des performances

AWS and Azure ai & ml (gpu) services offer comparable performance for standard workloads. AWS provides tighter integration with its ecosystem, while Azure offers competitive pricing and unique features for specific use cases.

Key Differences

  • Pricing model: AWS charges per-second with minimum billing, Azure uses per-minute billing
  • Free tier: AWS offers 12-month free tier, Azure provides always-free services
  • Reserved capacity: AWS Reserved Instances save up to 72%, Azure Committed Use discounts save up to 57%
  • Spot/Preemptible: AWS Spot up to 90% off, Azure Spot up to 80% off

Recommandation

For ai & ml (gpu) workloads, the choice between AWS and Azure depends on your specific requirements:

  1. Cost-sensitive workloads: AWS offers better value for standard configurations
  2. Performance-critical workloads: Both providers deliver similar performance; test with your actual workload
  3. Ecosystem integration: Choose the provider that aligns with your existing infrastructure
  4. Spot workloads: Compare spot pricing dynamically as availability varies by region and time

Consider using the pricing calculator to estimate costs for your specific workload.

Other languages