ML Training Calculator - 计算器

ML Training Calculator - 计算器

Machine learning training cost calculator. 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。 Use this calculator to estimate costs for ml training calculator across AWS, Azure, GCP, and Alibaba Cloud.

Input Parameters

Parameter Value Description
Instance type m5.large / D2s_v5 / e2-standard-2 Choose equivalent instance across providers
vCPU count 2 Number of virtual CPUs
Memory 8 GB RAM in gigabytes
Region us-east-1 Primary deployment region
Usage hours 730 Hours per month (24x30.5)
Pricing model On-demand On-demand, reserved, or spot

价格对比

云厂商 实例 每小时 每月 Yearly
AWS m5.large $0.0960 $70.08 $840.96
Azure D2s_v5 $0.0960 $70.08 $840.96
GCP e2-standard-2 $0.0670 $48.91 $586.92
Alibaba ecs.g6-large $0.0500 $36.50 $438.00

Calculation Formula

Monthly cost = Hourly rate × Usage hours per month

For reserved instances:

  • 1-year reserved: Monthly cost × 0.60 (40% savings)
  • 3-year reserved: Monthly cost × 0.28 (72% savings)

For spot instances:

  • Spot cost = On-demand cost × 0.30 (70% savings, variable)

Example Calculation

Scenario: Running a web API on 4 instances, 24/7 for 1 year

云厂商 实例 Monthly cost (4 instances) Annual cost
AWS m5.large $280.32 $3363.84
Azure D2s_v5 $280.32 $3363.84
GCP e2-standard-2 $195.64 $2347.68
Alibaba ecs.g6-large $146.00 $1752.00

推荐方案

  1. Compare all providers: Differences can be 30-50% for the same workload
  2. Factor in data transfer: Cross-region transfer adds 2-8 cents per GB
  3. Consider reserved instances: Commit to 1-3 years for 40-72% savings
  4. Use spot for variable load: Spot instances save 70-90% for interruptible workloads
  5. Include all costs: Storage, network, and management overhead add 10-30%

数据来源

  • API: Multi-provider 官方定价API
  • 获取时间: 2026-07-23
  • 方法论: 价格通过官方API获取并标准化为美元每小时/每月费率

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