AWS vs Azure: AI & ML (gpu) 价格对比
AWS vs Azure: AI & ML (gpu) 价格对比
对比 AWS 之间的定价 Azure ai & ml (gpu) 跨所有区域和实例类型. 本页面提供所有主要区域的全面定价对比，包括按需、预留和竞价定价选项。
价格对比
| 实例规格 | AWS | Azure | 差异 |
|---|---|---|---|
| 2 vCPU / 8 GB | $0.0960 | $0.0960 | 0.0% |
| 4 vCPU / 16 GB | $0.1920 | $0.1920 | 0.0% |
| 8 vCPU / 32 GB | $0.3840 | $0.3840 | 0.0% |
| 16 vCPU / 64 GB | $0.7680 | $0.7680 | 0.0% |
性能对比
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
推荐方案
For ai & ml (gpu) workloads, the choice between AWS and Azure depends on your specific requirements:
- Cost-sensitive workloads: AWS offers better value for standard configurations
- Performance-critical workloads: Both providers deliver similar performance; test with your actual workload
- Ecosystem integration: Choose the provider that aligns with your existing infrastructure
- 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.