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nexus/wiki/concepts/Graviton.md
weishen c3f9de5f9f ingest: Public Cloud Learning Sessions - EC2 Cost Optimization AWS (2024-05-29)
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)
2026-04-29 11:38:37 +08:00

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---
title: "Graviton"
type: concept
tags:
- AWS
- Cost-Optimization
- ARM
aliases:
- Graviton
- Graviton ARM
- AWS Graviton
last_updated: 2026-05-12
---
## Overview
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%)。
## Benefits
- **成本更低**:相比同等配置 Intel 实例便宜 20-25%
- **能效更高**:功耗显著降低
- **性能提升**:对于支持 ARM 的工作负载性能更好
## Instance Types
- **M系列**通用型M6g/M7g
- **T系列**突发性T4g
- **C系列**计算型C6g/C7g
- **R系列**内存优化R6g/R7g
- **X系列**内存优化X2gd
## Compatibility
适用于大多数工作负载:
- Web 服务
- 容器化应用EKS/ECS
- 大数据处理
- CI/CD 构建
- 机器学习推理
排除场景:
- 有状态服务(某些数据库)
- 需要特定 x86 指令的应用
- Windows 工作负载
## Related Pages
- [[FinOps]]
- [[SpotInstances]]
- [[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)
- [[ctp-topic-13-cloud-finops-micro-focus-policies-best-practices-to-optimize-the-co]]
- [[ctp-topic-63-optimise-resource-cost-using-automation]]