Source: Cloud & DevOps/Public-Cloud-Learning-Sessions/05_FinOps/public-cloud-learning-sessions-best-practices-for-ec2-cost-optimization-in-aws-2.md Entities: Mike-Dukes, Steele-Taylor, Spot-Invaders Concepts: AWS-Nitro, EC2-Spot-Instances, ECS Concepts updated: Graviton, SpotInstances (added source reference)
54 lines
1.4 KiB
Markdown
54 lines
1.4 KiB
Markdown
---
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title: "Graviton"
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type: concept
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tags:
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- AWS
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- Cost-Optimization
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- ARM
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aliases:
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- Graviton
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- Graviton ARM
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- AWS Graviton
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last_updated: 2026-05-12
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---
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## Overview
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Graviton 是 AWS 基于 ARM 架构自研的处理器,相比 Intel/AMD x86 实例提供更高的性价比(最高 40%)和更低的功耗(减少高达 60%)。
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## Benefits
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- **成本更低**:相比同等配置 Intel 实例便宜 20-25%
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- **能效更高**:功耗显著降低
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- **性能提升**:对于支持 ARM 的工作负载性能更好
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## Instance Types
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- **M系列**:通用型(M6g/M7g)
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- **T系列**:突发性(T4g)
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- **C系列**:计算型(C6g/C7g)
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- **R系列**:内存优化(R6g/R7g)
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- **X系列**:内存优化(X2gd)
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## Compatibility
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适用于大多数工作负载:
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- Web 服务
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- 容器化应用(EKS/ECS)
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- 大数据处理
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- CI/CD 构建
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- 机器学习推理
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排除场景:
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- 有状态服务(某些数据库)
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- 需要特定 x86 指令的应用
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- Windows 工作负载
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## Related Pages
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- [[FinOps]]
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- [[SpotInstances]]
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- [[public-cloud-learning-sessions-best-practices-for-ec2-cost-optimization-in-aws-2]]:Mike Dukes 和 Steele Taylor 详解 Graviton 性价比优势(40% 提升)和能耗优势(60% 降低)
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- [[ctp-topic-13-cloud-finops-micro-focus-policies-best-practices-to-optimize-the-co]]
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- [[ctp-topic-63-optimise-resource-cost-using-automation]]
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