

# Amazon EBS 优化的实例类型
<a name="ebs-optimized"></a>

Amazon EBS 优化的实例使用经过优化的配置堆栈，并为 Amazon EBS I/O 提供额外的专用带宽。这种优化通过最小化 Amazon EBS I/O 与来自您实例的其他流量之间的争用，为您的 EBS 卷提供最佳性能。

当附加到 EBS 优化的实例时，通用型 SSD（`gp2` 和 `gp3`）卷可在给定年度 99% 的时间内提供至少 90% 的预调配 IOPS 性能，而预调配 IOPS SSD（`io1` 和 `io2`）卷可在给定年度 99.9% 的时间内提供至少 90% 的预调配 IOPS 性能。吞吐量优化型 HDD（`st1`）和冷 HDD（`sc1`）在给定年度 99％ 的时间内提供至少 90% 的预期吞吐量性能。不合规时间段大致均匀分布，目标是达到 99% 的每小时预计总吞吐量。有关更多信息，请参阅《Amazon EBS 用户指南》**中的 [Amazon EBS 卷类型](https://docs.aws.amazon.com/ebs/latest/userguide/ebs-volume-types.html)。

某些实例类型**默认为 EBS 优化**，无需启用，尝试禁用也不会有任何影响。其他实例类型可选**支持 EBS 优化**，您可以在启动期间或之后启用该功能，但需[额外支付每小时费用](https://aws.amazon.com/ec2/previous-generation/#EBS-optimized_instances)。某些实例类型不支持 EBS 优化。

有关详细的实例类型规范和功能，请参阅 [Amazon EC2 实例类型指南](https://docs.aws.amazon.com/ec2/latest/instancetypes/instance-types.html)。

**注意事项**
+ 实例的 EBS 性能受实例类型的性能限制或其附加卷的聚合性能的限制，以较小者为准。要实现最大的 EBS 性能，实例必须附加卷以提供等于或大于最大实例性能的总性能。例如，要实现 `r6i.16xlarge` 的 `80,000` IOPS，实例必须至少具有预置了 `16,000` IOPS 的 `5` 个 `gp2` 卷（`5` 个卷 x `16,000` IOPS = `80,000` IOPS），或具有预置了 `80,000` IOPS 的 `1` 个 `gp3` 卷。建议您选择一种实例类型，其提供的专用 Amazon EBS 吞吐量高于您的应用程序需求；否则，Amazon EBS 与 Amazon EC2 的连接将成为性能瓶颈。
+ 您可以挂载到实例的最大 Amazon EBS 卷数取决于实例类型和实例规模。有关更多信息，请参阅 [Amazon EC2 实例的 Amazon EBS 卷限制](volume_limits.md)。
+ 最大 IOPS 和吞吐量限制是相互依赖的。根据您的 I/O 大小，您可能会先达到一个限制，然后再达到另一个限制，这可能会影响整体性能。为获得最佳结果，请在计划工作负载时同时考虑这两个限制。

## 默认为 EBS 优化
<a name="current"></a>

以下实例类型在默认情况下会进行 EBS 优化。无需启用 EBS 优化，禁用 EBS 优化也没有效果。

**Topics**
+ [通用型](#current-general-purpose)
+ [计算优化型](#current-compute-optimized)
+ [内存优化型](#current-memory-optimized)
+ [存储优化](#current-storage-optimized)
+ [加速计算型](#current-accelerated-computing)
+ [高性能计算](#current-high-performance-computing)

### 通用型
<a name="current-general-purpose"></a>

**注意**  
M8a、M8g、M8gd、M8i、M8id、M8i-flex 实例类型支持可配置的带宽权重。使用这些实例类型，您可以针对网络性能或 Amazon EBS 性能优化实例的带宽。下表显示了这些实例类型的默认 Amazon EBS 带宽性能。有关更多信息，请参阅 [EC2 实例带宽权重配置](configure-bandwidth-weighting.md)。


| 实例大小 | 基准带宽（Mbps） | 最大带宽（Mbps） | 基准吞吐量（MB/s，128 KiB I/O） | 最大吞吐量（MB/s，128 KiB I/O） | 基准 IOPS（16KiB I/O） | 最大 IOPS（16KiB I/O） | 
| --- | --- | --- | --- | --- | --- | --- | 
| a1.medium 1 | 300 | 3500 | 37.50 | 437.50 | 2500 | 20000 | 
| a1.large 1 | 525 | 3500 | 65.62 | 437.50 | 4000 | 20000 | 
| a1.xlarge 1 | 800 | 3500 | 100.00 | 437.50 | 6000 | 20000 | 
| a1.2xlarge 1 | 1750 | 3500 | 218.75 | 437.50 | 10000 | 20000 | 
| a1.4xlarge 2 | 3500 | 437.5 | 20000 | 
| a1.metal 2 | 3500 | 437.5 | 20000 | 
| m4.large 2 | 450 | 56.25 | 3600 | 
| m4.xlarge 2 | 750 | 93.75 | 6000 | 
| m4.2xlarge 2 | 1000 | 125.0 | 8000 | 
| m4.4xlarge 2 | 2000 | 250.0 | 16000 | 
| m4.10xlarge 2 | 4000 | 500.0 | 32000 | 
| m4.16xlarge 2 | 10000 | 1250.0 | 65000 | 
| m5.large 1 | 650 | 4750 | 81.25 | 593.75 | 3600 | 18750 | 
| m5.xlarge 1 | 1150 | 4750 | 143.75 | 593.75 | 6000 | 18750 | 
| m5.2xlarge 1 | 2300 | 4750 | 287.50 | 593.75 | 12000 | 18750 | 
| m5.4xlarge 2 | 4750 | 593.75 | 18750 | 
| m5.8xlarge 2 | 6800 | 850.0 | 30000 | 
| m5.12xlarge 2 | 9500 | 1187.5 | 40000 | 
| m5.16xlarge 2 | 13600 | 1700.0 | 60000 | 
| m5.24xlarge 2 | 19000 | 2375.0 | 80000 | 
| m5.metal 2 | 19000 | 2375.0 | 80000 | 
| m5a.large 1 | 650 | 2880 | 81.25 | 360.00 | 3600 | 16000 | 
| m5a.xlarge 1 | 1085 | 2880 | 135.62 | 360.00 | 6000 | 16000 | 
| m5a.2xlarge 1 | 1580 | 2880 | 197.50 | 360.00 | 8333 | 16000 | 
| m5a.4xlarge 2 | 2880 | 360.0 | 16000 | 
| m5a.8xlarge 2 | 4750 | 593.75 | 20000 | 
| m5a.12xlarge 2 | 6780 | 847.5 | 30000 | 
| m5a.16xlarge 2 | 9500 | 1187.5 | 40000 | 
| m5a.24xlarge 2 | 13750 | 1718.75 | 60000 | 
| m5ad.large 1 | 650 | 2880 | 81.25 | 360.00 | 3600 | 16000 | 
| m5ad.xlarge 1 | 1085 | 2880 | 135.62 | 360.00 | 6000 | 16000 | 
| m5ad.2xlarge 1 | 1580 | 2880 | 197.50 | 360.00 | 8333 | 16000 | 
| m5ad.4xlarge 2 | 2880 | 360.0 | 16000 | 
| m5ad.8xlarge 2 | 4750 | 593.75 | 20000 | 
| m5ad.12xlarge 2 | 6780 | 847.5 | 30000 | 
| m5ad.16xlarge 2 | 9500 | 1187.5 | 40000 | 
| m5ad.24xlarge 2 | 13750 | 1718.75 | 60000 | 
| m5d.large 1 | 650 | 4750 | 81.25 | 593.75 | 3600 | 18750 | 
| m5d.xlarge 1 | 1150 | 4750 | 143.75 | 593.75 | 6000 | 18750 | 
| m5d.2xlarge 1 | 2300 | 4750 | 287.50 | 593.75 | 12000 | 18750 | 
| m5d.4xlarge 2 | 4750 | 593.75 | 18750 | 
| m5d.8xlarge 2 | 6800 | 850.0 | 30000 | 
| m5d.12xlarge 2 | 9500 | 1187.5 | 40000 | 
| m5d.16xlarge 2 | 13600 | 1700.0 | 60000 | 
| m5d.24xlarge 2 | 19000 | 2375.0 | 80000 | 
| m5d.metal 2 | 19000 | 2375.0 | 80000 | 
| m5dn.large 1 | 650 | 4750 | 81.25 | 593.75 | 3600 | 18750 | 
| m5dn.xlarge 1 | 1150 | 4750 | 143.75 | 593.75 | 6000 | 18750 | 
| m5dn.2xlarge 1 | 2300 | 4750 | 287.50 | 593.75 | 12000 | 18750 | 
| m5dn.4xlarge 2 | 4750 | 593.75 | 18750 | 
| m5dn.8xlarge 2 | 6800 | 850.0 | 30000 | 
| m5dn.12xlarge 2 | 9500 | 1187.5 | 40000 | 
| m5dn.16xlarge 2 | 13600 | 1700.0 | 60000 | 
| m5dn.24xlarge 2 | 19000 | 2375.0 | 80000 | 
| m5dn.metal 2 | 19000 | 2375.0 | 80000 | 
| m5n.large 1 | 650 | 4750 | 81.25 | 593.75 | 3600 | 18750 | 
| m5n.xlarge 1 | 1150 | 4750 | 143.75 | 593.75 | 6000 | 18750 | 
| m5n.2xlarge 1 | 2300 | 4750 | 287.50 | 593.75 | 12000 | 18750 | 
| m5n.4xlarge 2 | 4750 | 593.75 | 18750 | 
| m5n.8xlarge 2 | 6800 | 850.0 | 30000 | 
| m5n.12xlarge 2 | 9500 | 1187.5 | 40000 | 
| m5n.16xlarge 2 | 13600 | 1700.0 | 60000 | 
| m5n.24xlarge 2 | 19000 | 2375.0 | 80000 | 
| m5n.metal 2 | 19000 | 2375.0 | 80000 | 
| m5zn.large 1 | 800 | 3170 | 100.00 | 396.25 | 3333 | 13333 | 
| m5zn.xlarge 1 | 1564 | 3170 | 195.50 | 396.25 | 6667 | 13333 | 
| m5zn.2xlarge 2 | 3170 | 396.25 | 13333 | 
| m5zn.3xlarge 2 | 4750 | 593.75 | 20000 | 
| m5zn.6xlarge 2 | 9500 | 1187.5 | 40000 | 
| m5zn.12xlarge 2 | 19000 | 2375.0 | 80000 | 
| m5zn.metal 2 | 19000 | 2375.0 | 80000 | 
| m6a.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| m6a.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| m6a.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| m6a.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| m6a.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| m6a.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| m6a.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| m6a.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| m6a.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| m6a.48xlarge 2 | 40000 | 5000.0 | 240000 | 
| m6a.metal 2 | 40000 | 5000.0 | 240000 | 
| m6g.medium 1 | 315 | 4750 | 39.38 | 593.75 | 2500 | 20000 | 
| m6g.large 1 | 630 | 4750 | 78.75 | 593.75 | 3600 | 20000 | 
| m6g.xlarge 1 | 1188 | 4750 | 148.50 | 593.75 | 6000 | 20000 | 
| m6g.2xlarge 1 | 2375 | 4750 | 296.88 | 593.75 | 12000 | 20000 | 
| m6g.4xlarge 2 | 4750 | 593.75 | 20000 | 
| m6g.8xlarge 2 | 9500 | 1187.5 | 40000 | 
| m6g.12xlarge 2 | 14250 | 1781.25 | 50000 | 
| m6g.16xlarge 2 | 19000 | 2375.0 | 80000 | 
| m6g.metal 2 | 19000 | 2375.0 | 80000 | 
| m6gd.medium 1 | 315 | 4750 | 39.38 | 593.75 | 2500 | 20000 | 
| m6gd.large 1 | 630 | 4750 | 78.75 | 593.75 | 3600 | 20000 | 
| m6gd.xlarge 1 | 1188 | 4750 | 148.50 | 593.75 | 6000 | 20000 | 
| m6gd.2xlarge 1 | 2375 | 4750 | 296.88 | 593.75 | 12000 | 20000 | 
| m6gd.4xlarge 2 | 4750 | 593.75 | 20000 | 
| m6gd.8xlarge 2 | 9500 | 1187.5 | 40000 | 
| m6gd.12xlarge 2 | 14250 | 1781.25 | 50000 | 
| m6gd.16xlarge 2 | 19000 | 2375.0 | 80000 | 
| m6gd.metal 2 | 19000 | 2375.0 | 80000 | 
| m6i.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| m6i.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| m6i.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| m6i.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| m6i.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| m6i.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| m6i.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| m6i.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| m6i.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| m6i.metal 2 | 40000 | 5000.0 | 160000 | 
| m6id.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| m6id.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| m6id.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| m6id.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| m6id.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| m6id.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| m6id.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| m6id.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| m6id.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| m6id.metal 2 | 40000 | 5000.0 | 160000 | 
| m6idn.large 1 | 1562 | 25000 | 195.31 | 3125.00 | 6250 | 100000 | 
| m6idn.xlarge 1 | 3125 | 25000 | 390.62 | 3125.00 | 12500 | 100000 | 
| m6idn.2xlarge 1 | 6250 | 25000 | 781.25 | 3125.00 | 25000 | 100000 | 
| m6idn.4xlarge 1 | 12500 | 25000 | 1562.50 | 3125.00 | 50000 | 100000 | 
| m6idn.8xlarge 2 | 25000 | 3125.0 | 100000 | 
| m6idn.12xlarge 2 | 37500 | 4687.5 | 150000 | 
| m6idn.16xlarge 2 | 50000 | 6250.0 | 200000 | 
| m6idn.24xlarge 2 | 75000 | 9375.0 | 300000 | 
| m6idn.32xlarge 2 | 100000 | 12500.0 | 400000 | 
| m6idn.metal 2 | 100000 | 12500.0 | 400000 | 
| m6in.large 1 | 1562 | 25000 | 195.31 | 3125.00 | 6250 | 100000 | 
| m6in.xlarge 1 | 3125 | 25000 | 390.62 | 3125.00 | 12500 | 100000 | 
| m6in.2xlarge 1 | 6250 | 25000 | 781.25 | 3125.00 | 25000 | 100000 | 
| m6in.4xlarge 1 | 12500 | 25000 | 1562.50 | 3125.00 | 50000 | 100000 | 
| m6in.8xlarge 2 | 25000 | 3125.0 | 100000 | 
| m6in.12xlarge 2 | 37500 | 4687.5 | 150000 | 
| m6in.16xlarge 2 | 50000 | 6250.0 | 200000 | 
| m6in.24xlarge 2 | 75000 | 9375.0 | 300000 | 
| m6in.32xlarge 2 | 100000 | 12500.0 | 400000 | 
| m6in.metal 2 | 100000 | 12500.0 | 400000 | 
| m7a.medium 1 | 325 | 10000 | 40.62 | 1250.00 | 2500 | 40000 | 
| m7a.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| m7a.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| m7a.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| m7a.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| m7a.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| m7a.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| m7a.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| m7a.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| m7a.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| m7a.48xlarge 2 | 40000 | 5000.0 | 240000 | 
| m7a.metal-48xl 2 | 40000 | 5000.0 | 240000 | 
| m7g.medium 1 | 315 | 10000 | 39.38 | 1250.00 | 2500 | 40000 | 
| m7g.large 1 | 630 | 10000 | 78.75 | 1250.00 | 3600 | 40000 | 
| m7g.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| m7g.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| m7g.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| m7g.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| m7g.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| m7g.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| m7g.metal 2 | 20000 | 2500.0 | 80000 | 
| m7gd.medium 1 | 315 | 10000 | 39.38 | 1250.00 | 2500 | 40000 | 
| m7gd.large 1 | 630 | 10000 | 78.75 | 1250.00 | 3600 | 40000 | 
| m7gd.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| m7gd.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| m7gd.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| m7gd.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| m7gd.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| m7gd.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| m7gd.metal 2 | 20000 | 2500.0 | 80000 | 
| m7i.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| m7i.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| m7i.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| m7i.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| m7i.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| m7i.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| m7i.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| m7i.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| m7i.48xlarge 2 | 40000 | 5000.0 | 240000 | 
| m7i.metal-24xl 2 | 30000 | 3750.0 | 120000 | 
| m7i.metal-48xl 2 | 40000 | 5000.0 | 240000 | 
| m7i-flex.large 1 | 312 | 10000 | 39.06 | 1250.00 | 2500 | 40000 | 
| m7i-flex.xlarge 1 | 625 | 10000 | 78.12 | 1250.00 | 3600 | 40000 | 
| m7i-flex.2xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| m7i-flex.4xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| m7i-flex.8xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| m7i-flex.12xlarge 1 | 7500 | 15000 | 937.50 | 1875.00 | 30000 | 60000 | 
| m7i-flex.16xlarge 1 | 10000 | 20000 | 1250.00 | 2500.00 | 40000 | 80000 | 
| m8a.medium 1 | 325 | 10000 | 40.62 | 1250.00 | 2500 | 40000 | 
| m8a.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| m8a.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| m8a.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| m8a.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| m8a.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| m8a.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| m8a.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| m8a.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| m8a.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| m8a.metal-24xl 2 | 30000 | 3750.0 | 120000 | 
| m8a.metal-48xl 2 | 60000 | 7500.0 | 240000 | 
| m8azn.medium 1 | 625 | 15000 | 78.12 | 1875.00 | 2500 | 60000 | 
| m8azn.large 1 | 1250 | 15000 | 156.25 | 1875.00 | 5000 | 60000 | 
| m8azn.xlarge 1 | 2500 | 15000 | 312.50 | 1875.00 | 10000 | 60000 | 
| m8azn.3xlarge 1 | 7500 | 15000 | 937.50 | 1875.00 | 30000 | 60000 | 
| m8azn.6xlarge 2 | 15000 | 1875.0 | 60000 | 
| m8azn.12xlarge 2 | 30000 | 3750.0 | 120000 | 
| m8azn.24xlarge 2 | 60000 | 7500.0 | 240000 | 
| m8azn.metal-12xl 2 | 30000 | 3750.0 | 120000 | 
| m8azn.metal-24xl 2 | 60000 | 7500.0 | 240000 | 
| m8g.medium 1 | 315 | 10000 | 39.38 | 1250.00 | 2500 | 40000 | 
| m8g.large 1 | 630 | 10000 | 78.75 | 1250.00 | 3600 | 40000 | 
| m8g.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| m8g.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| m8g.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| m8g.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| m8g.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| m8g.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| m8g.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| m8g.48xlarge 2 | 40000 | 5000.0 | 240000 | 
| m8g.metal-24xl 2 | 30000 | 3750.0 | 120000 | 
| m8g.metal-48xl 2 | 40000 | 5000.0 | 240000 | 
| m8gb.medium 1 | 1562 | 25000 | 195.31 | 3125.00 | 7500 | 120000 | 
| m8gb.large 1 | 3125 | 25000 | 390.62 | 3125.00 | 15000 | 120000 | 
| m8gb.xlarge 1 | 6250 | 25000 | 781.25 | 3125.00 | 30000 | 120000 | 
| m8gb.2xlarge 1 | 12500 | 25000 | 1562.50 | 3125.00 | 60000 | 120000 | 
| m8gb.4xlarge 2 | 25000 | 3125.0 | 120000 | 
| m8gb.8xlarge 2 | 50000 | 6250.0 | 240000 | 
| m8gb.12xlarge 2 | 75000 | 9375.0 | 360000 | 
| m8gb.16xlarge 2 | 100000 | 12500.0 | 480000 | 
| m8gb.24xlarge 2 | 150000 | 18750.0 | 720000 | 
| m8gb.48xlarge 2 | 300000 | 37500.0 | 1440000 | 
| m8gb.metal-24xl 2 | 150000 | 18750.0 | 720000 | 
| m8gb.metal-48xl 2 | 300000 | 37500.0 | 1440000 | 
| m8gd.medium 1 | 315 | 10000 | 39.38 | 1250.00 | 2500 | 40000 | 
| m8gd.large 1 | 630 | 10000 | 78.75 | 1250.00 | 3600 | 40000 | 
| m8gd.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| m8gd.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| m8gd.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| m8gd.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| m8gd.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| m8gd.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| m8gd.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| m8gd.48xlarge 2 | 40000 | 5000.0 | 240000 | 
| m8gd.metal-24xl 2 | 30000 | 3750.0 | 120000 | 
| m8gd.metal-48xl 2 | 40000 | 5000.0 | 240000 | 
| m8gn.medium 1 | 760 | 10000 | 95.00 | 1250.00 | 2500 | 40000 | 
| m8gn.large 1 | 1250 | 10000 | 156.25 | 1250.00 | 5000 | 40000 | 
| m8gn.xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 10000 | 40000 | 
| m8gn.2xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| m8gn.4xlarge 2 | 10000 | 1250.0 | 40000 | 
| m8gn.8xlarge 2 | 20000 | 2500.0 | 80000 | 
| m8gn.12xlarge 2 | 30000 | 3750.0 | 120000 | 
| m8gn.16xlarge 2 | 40000 | 5000.0 | 160000 | 
| m8gn.24xlarge 2 | 60000 | 7500.0 | 240000 | 
| m8gn.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| m8gn.metal-24xl 2 | 60000 | 7500.0 | 240000 | 
| m8gn.metal-48xl 2 | 60000 | 7500.0 | 240000 | 
| m8i.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| m8i.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| m8i.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| m8i.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| m8i.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| m8i.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| m8i.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| m8i.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| m8i.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| m8i.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| m8i.96xlarge 2 | 80000 | 10000.0 | 480000 | 
| m8i.metal-48xl 2 | 60000 | 7500.0 | 240000 | 
| m8i.metal-96xl 2 | 80000 | 10000.0 | 480000 | 
| m8id.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| m8id.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| m8id.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| m8id.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| m8id.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| m8id.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| m8id.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| m8id.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| m8id.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| m8id.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| m8id.96xlarge 2 | 80000 | 10000.0 | 480000 | 
| m8id.metal-48xl 2 | 60000 | 7500.0 | 240000 | 
| m8id.metal-96xl 2 | 80000 | 10000.0 | 480000 | 
| m8i-flex.large 1 | 315 | 10000 | 39.38 | 1250.00 | 2500 | 40000 | 
| m8i-flex.xlarge 1 | 630 | 10000 | 78.75 | 1250.00 | 3600 | 40000 | 
| m8i-flex.2xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| m8i-flex.4xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| m8i-flex.8xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| m8i-flex.12xlarge 1 | 7500 | 15000 | 937.50 | 1875.00 | 30000 | 60000 | 
| m8i-flex.16xlarge 1 | 10000 | 20000 | 1250.00 | 2500.00 | 40000 | 80000 | 
| mac1.metal 2 | 14000 | 1750.0 | 80000 | 
| mac2.metal 2 | 10000 | 1250.0 | 55000 | 
| mac2-m1ultra.metal 2 | 10000 | 1250.0 | 55000 | 
| mac2-m2.metal 2 | 8000 | 1000.0 | 55000 | 
| mac2-m2pro.metal 2 | 8000 | 1000.0 | 55000 | 
| mac-m4.metal 2 | 8000 | 1000.0 | 55000 | 
| mac-m4pro.metal 2 | 8000 | 1000.0 | 55000 | 
| mac-m4max.metal 2 | 10000 | 1250.0 | 55000 | 
| t3.nano 1 | 43 | 2085 | 5.38 | 260.62 | 250 | 11800 | 
| t3.micro 1 | 87 | 2085 | 10.88 | 260.62 | 500 | 11800 | 
| t3.small 1 | 174 | 2085 | 21.75 | 260.62 | 1000 | 11800 | 
| t3.medium 1 | 347 | 2085 | 43.38 | 260.62 | 2000 | 11800 | 
| t3.large 1 | 695 | 2780 | 86.88 | 347.50 | 4000 | 15700 | 
| t3.xlarge 1 | 695 | 2780 | 86.88 | 347.50 | 4000 | 15700 | 
| t3.2xlarge 1 | 695 | 2780 | 86.88 | 347.50 | 4000 | 15700 | 
| t3a.nano 1 | 45 | 2085 | 5.62 | 260.62 | 250 | 11800 | 
| t3a.micro 1 | 90 | 2085 | 11.25 | 260.62 | 500 | 11800 | 
| t3a.small 1 | 175 | 2085 | 21.88 | 260.62 | 1000 | 11800 | 
| t3a.medium 1 | 350 | 2085 | 43.75 | 260.62 | 2000 | 11800 | 
| t3a.large 1 | 695 | 2780 | 86.88 | 347.50 | 4000 | 15700 | 
| t3a.xlarge 1 | 695 | 2780 | 86.88 | 347.50 | 4000 | 15700 | 
| t3a.2xlarge 1 | 695 | 2780 | 86.88 | 347.50 | 4000 | 15700 | 
| t4g.nano 1 | 43 | 2085 | 5.38 | 260.62 | 250 | 11800 | 
| t4g.micro 1 | 87 | 2085 | 10.88 | 260.62 | 500 | 11800 | 
| t4g.small 1 | 174 | 2085 | 21.75 | 260.62 | 1000 | 11800 | 
| t4g.medium 1 | 347 | 2085 | 43.38 | 260.62 | 2000 | 11800 | 
| t4g.large 1 | 695 | 2780 | 86.88 | 347.50 | 4000 | 15700 | 
| t4g.xlarge 1 | 695 | 2780 | 86.88 | 347.50 | 4000 | 15700 | 
| t4g.2xlarge 1 | 695 | 2780 | 86.88 | 347.50 | 4000 | 15700 | 

1 这些实例可以至少每 24 小时维持一次 30 分钟的最大性能，之后会恢复到基线性能。

2 这些实例可以无限期地维持其既定性能。如果工作负载需要在超过 30 分钟的时长内保持最大性能，请选择以下任一实例。

### 计算优化型
<a name="current-compute-optimized"></a>

**注意**  
C8a、C8g、C8gd、C8i、C8id、C8i-flex 实例类型支持可配置的带宽权重。使用这些实例类型，您可以针对网络性能或 Amazon EBS 性能优化实例的带宽。下表显示了这些实例类型的默认 Amazon EBS 带宽性能。有关更多信息，请参阅 [EC2 实例带宽权重配置](configure-bandwidth-weighting.md)。


| 实例大小 | 基准带宽（Mbps） | 最大带宽（Mbps） | 基准吞吐量（MB/s，128 KiB I/O） | 最大吞吐量（MB/s，128 KiB I/O） | 基准 IOPS（16KiB I/O） | 最大 IOPS（16KiB I/O） | 
| --- | --- | --- | --- | --- | --- | --- | 
| c4.large 2 | 500 | 62.5 | 4000 | 
| c4.xlarge 2 | 750 | 93.75 | 6000 | 
| c4.2xlarge 2 | 1000 | 125.0 | 8000 | 
| c4.4xlarge 2 | 2000 | 250.0 | 16000 | 
| c4.8xlarge 2 | 4000 | 500.0 | 32000 | 
| c5.large 1 | 650 | 4750 | 81.25 | 593.75 | 4000 | 20000 | 
| c5.xlarge 1 | 1150 | 4750 | 143.75 | 593.75 | 6000 | 20000 | 
| c5.2xlarge 1 | 2300 | 4750 | 287.50 | 593.75 | 10000 | 20000 | 
| c5.4xlarge 2 | 4750 | 593.75 | 20000 | 
| c5.9xlarge 2 | 9500 | 1187.5 | 40000 | 
| c5.12xlarge 2 | 9500 | 1187.5 | 40000 | 
| c5.18xlarge 2 | 19000 | 2375.0 | 80000 | 
| c5.24xlarge 2 | 19000 | 2375.0 | 80000 | 
| c5.metal 2 | 19000 | 2375.0 | 80000 | 
| c5a.large 1 | 200 | 3170 | 25.00 | 396.25 | 800 | 13300 | 
| c5a.xlarge 1 | 400 | 3170 | 50.00 | 396.25 | 1600 | 13300 | 
| c5a.2xlarge 1 | 800 | 3170 | 100.00 | 396.25 | 3200 | 13300 | 
| c5a.4xlarge 1 | 1580 | 3170 | 197.50 | 396.25 | 6600 | 13300 | 
| c5a.8xlarge 2 | 3170 | 396.25 | 13300 | 
| c5a.12xlarge 2 | 4750 | 593.75 | 20000 | 
| c5a.16xlarge 2 | 6300 | 787.5 | 26700 | 
| c5a.24xlarge 2 | 9500 | 1187.5 | 40000 | 
| c5ad.large 1 | 200 | 3170 | 25.00 | 396.25 | 800 | 13300 | 
| c5ad.xlarge 1 | 400 | 3170 | 50.00 | 396.25 | 1600 | 13300 | 
| c5ad.2xlarge 1 | 800 | 3170 | 100.00 | 396.25 | 3200 | 13300 | 
| c5ad.4xlarge 1 | 1580 | 3170 | 197.50 | 396.25 | 6600 | 13300 | 
| c5ad.8xlarge 2 | 3170 | 396.25 | 13300 | 
| c5ad.12xlarge 2 | 4750 | 593.75 | 20000 | 
| c5ad.16xlarge 2 | 6300 | 787.5 | 26700 | 
| c5ad.24xlarge 2 | 9500 | 1187.5 | 40000 | 
| c5d.large 1 | 650 | 4750 | 81.25 | 593.75 | 4000 | 20000 | 
| c5d.xlarge 1 | 1150 | 4750 | 143.75 | 593.75 | 6000 | 20000 | 
| c5d.2xlarge 1 | 2300 | 4750 | 287.50 | 593.75 | 10000 | 20000 | 
| c5d.4xlarge 2 | 4750 | 593.75 | 20000 | 
| c5d.9xlarge 2 | 9500 | 1187.5 | 40000 | 
| c5d.12xlarge 2 | 9500 | 1187.5 | 40000 | 
| c5d.18xlarge 2 | 19000 | 2375.0 | 80000 | 
| c5d.24xlarge 2 | 19000 | 2375.0 | 80000 | 
| c5d.metal 2 | 19000 | 2375.0 | 80000 | 
| c5n.large 1 | 650 | 4750 | 81.25 | 593.75 | 4000 | 20000 | 
| c5n.xlarge 1 | 1150 | 4750 | 143.75 | 593.75 | 6000 | 20000 | 
| c5n.2xlarge 1 | 2300 | 4750 | 287.50 | 593.75 | 10000 | 20000 | 
| c5n.4xlarge 2 | 4750 | 593.75 | 20000 | 
| c5n.9xlarge 2 | 9500 | 1187.5 | 40000 | 
| c5n.18xlarge 2 | 19000 | 2375.0 | 80000 | 
| c5n.metal 2 | 19000 | 2375.0 | 80000 | 
| c6a.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| c6a.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| c6a.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| c6a.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| c6a.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| c6a.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| c6a.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| c6a.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| c6a.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| c6a.48xlarge 2 | 40000 | 5000.0 | 240000 | 
| c6a.metal 2 | 40000 | 5000.0 | 240000 | 
| c6g.medium 1 | 315 | 4750 | 39.38 | 593.75 | 2500 | 20000 | 
| c6g.large 1 | 630 | 4750 | 78.75 | 593.75 | 3600 | 20000 | 
| c6g.xlarge 1 | 1188 | 4750 | 148.50 | 593.75 | 6000 | 20000 | 
| c6g.2xlarge 1 | 2375 | 4750 | 296.88 | 593.75 | 12000 | 20000 | 
| c6g.4xlarge 2 | 4750 | 593.75 | 20000 | 
| c6g.8xlarge 2 | 9500 | 1187.5 | 40000 | 
| c6g.12xlarge 2 | 14250 | 1781.25 | 50000 | 
| c6g.16xlarge 2 | 19000 | 2375.0 | 80000 | 
| c6g.metal 2 | 19000 | 2375.0 | 80000 | 
| c6gd.medium 1 | 315 | 4750 | 39.38 | 593.75 | 2500 | 20000 | 
| c6gd.large 1 | 630 | 4750 | 78.75 | 593.75 | 3600 | 20000 | 
| c6gd.xlarge 1 | 1188 | 4750 | 148.50 | 593.75 | 6000 | 20000 | 
| c6gd.2xlarge 1 | 2375 | 4750 | 296.88 | 593.75 | 12000 | 20000 | 
| c6gd.4xlarge 2 | 4750 | 593.75 | 20000 | 
| c6gd.8xlarge 2 | 9500 | 1187.5 | 40000 | 
| c6gd.12xlarge 2 | 14250 | 1781.25 | 50000 | 
| c6gd.16xlarge 2 | 19000 | 2375.0 | 80000 | 
| c6gd.metal 2 | 19000 | 2375.0 | 80000 | 
| c6gn.medium 1 | 760 | 9500 | 95.00 | 1187.50 | 2500 | 40000 | 
| c6gn.large 1 | 1235 | 9500 | 154.38 | 1187.50 | 5000 | 40000 | 
| c6gn.xlarge 1 | 2375 | 9500 | 296.88 | 1187.50 | 10000 | 40000 | 
| c6gn.2xlarge 1 | 4750 | 9500 | 593.75 | 1187.50 | 20000 | 40000 | 
| c6gn.4xlarge 2 | 9500 | 1187.5 | 40000 | 
| c6gn.8xlarge 2 | 19000 | 2375.0 | 80000 | 
| c6gn.12xlarge 2 | 28500 | 3562.5 | 120000 | 
| c6gn.16xlarge 2 | 38000 | 4750.0 | 160000 | 
| c6i.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| c6i.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| c6i.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| c6i.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| c6i.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| c6i.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| c6i.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| c6i.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| c6i.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| c6i.metal 2 | 40000 | 5000.0 | 160000 | 
| c6id.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| c6id.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| c6id.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| c6id.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| c6id.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| c6id.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| c6id.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| c6id.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| c6id.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| c6id.metal 2 | 40000 | 5000.0 | 160000 | 
| c6in.large 1 | 1562 | 25000 | 195.31 | 3125.00 | 6250 | 100000 | 
| c6in.xlarge 1 | 3125 | 25000 | 390.62 | 3125.00 | 12500 | 100000 | 
| c6in.2xlarge 1 | 6250 | 25000 | 781.25 | 3125.00 | 25000 | 100000 | 
| c6in.4xlarge 1 | 12500 | 25000 | 1562.50 | 3125.00 | 50000 | 100000 | 
| c6in.8xlarge 2 | 25000 | 3125.0 | 100000 | 
| c6in.12xlarge 2 | 37500 | 4687.5 | 150000 | 
| c6in.16xlarge 2 | 50000 | 6250.0 | 200000 | 
| c6in.24xlarge 2 | 75000 | 9375.0 | 300000 | 
| c6in.32xlarge 2 | 100000 | 12500.0 | 400000 | 
| c6in.metal 2 | 100000 | 12500.0 | 400000 | 
| c7a.medium 1 | 325 | 10000 | 40.62 | 1250.00 | 2500 | 40000 | 
| c7a.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| c7a.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| c7a.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| c7a.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| c7a.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| c7a.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| c7a.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| c7a.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| c7a.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| c7a.48xlarge 2 | 40000 | 5000.0 | 240000 | 
| c7a.metal-48xl 2 | 40000 | 5000.0 | 240000 | 
| c7g.medium 1 | 315 | 10000 | 39.38 | 1250.00 | 2500 | 40000 | 
| c7g.large 1 | 630 | 10000 | 78.75 | 1250.00 | 3600 | 40000 | 
| c7g.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| c7g.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| c7g.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| c7g.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| c7g.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| c7g.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| c7g.metal 2 | 20000 | 2500.0 | 80000 | 
| c7gd.medium 1 | 315 | 10000 | 39.38 | 1250.00 | 2500 | 40000 | 
| c7gd.large 1 | 630 | 10000 | 78.75 | 1250.00 | 3600 | 40000 | 
| c7gd.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| c7gd.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| c7gd.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| c7gd.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| c7gd.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| c7gd.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| c7gd.metal 2 | 20000 | 2500.0 | 80000 | 
| c7gn.medium 1 | 521 | 10000 | 65.12 | 1250.00 | 2083 | 40000 | 
| c7gn.large 1 | 1042 | 10000 | 130.25 | 1250.00 | 4167 | 40000 | 
| c7gn.xlarge 1 | 2083 | 10000 | 260.38 | 1250.00 | 8333 | 40000 | 
| c7gn.2xlarge 1 | 4167 | 10000 | 520.88 | 1250.00 | 16667 | 40000 | 
| c7gn.4xlarge 1 | 8333 | 10000 | 1041.62 | 1250.00 | 33333 | 40000 | 
| c7gn.8xlarge 1 | 16667 | 20000 | 2083.38 | 2500.00 | 66667 | 80000 | 
| c7gn.12xlarge 1 | 25000 | 30000 | 3125.00 | 3750.00 | 100000 | 120000 | 
| c7gn.16xlarge 1 | 33333 | 40000 | 4166.62 | 5000.00 | 133333 | 160000 | 
| c7gn.metal 1 | 33333 | 40000 | 4166.62 | 5000.00 | 133333 | 160000 | 
| c7i.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| c7i.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| c7i.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| c7i.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| c7i.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| c7i.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| c7i.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| c7i.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| c7i.48xlarge 2 | 40000 | 5000.0 | 240000 | 
| c7i.metal-24xl 2 | 30000 | 3750.0 | 120000 | 
| c7i.metal-48xl 2 | 40000 | 5000.0 | 240000 | 
| c7i-flex.large 1 | 312 | 10000 | 39.06 | 1250.00 | 2500 | 40000 | 
| c7i-flex.xlarge 1 | 625 | 10000 | 78.12 | 1250.00 | 3600 | 40000 | 
| c7i-flex.2xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| c7i-flex.4xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| c7i-flex.8xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| c7i-flex.12xlarge 1 | 7500 | 15000 | 937.50 | 1875.00 | 30000 | 60000 | 
| c7i-flex.16xlarge 1 | 10000 | 20000 | 1250.00 | 2500.00 | 40000 | 80000 | 
| c8a.medium 1 | 325 | 10000 | 40.62 | 1250.00 | 2500 | 40000 | 
| c8a.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| c8a.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| c8a.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| c8a.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| c8a.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| c8a.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| c8a.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| c8a.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| c8a.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| c8a.metal-24xl 2 | 30000 | 3750.0 | 120000 | 
| c8a.metal-48xl 2 | 60000 | 7500.0 | 240000 | 
| c8g.medium 1 | 315 | 10000 | 39.38 | 1250.00 | 2500 | 40000 | 
| c8g.large 1 | 630 | 10000 | 78.75 | 1250.00 | 3600 | 40000 | 
| c8g.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| c8g.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| c8g.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| c8g.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| c8g.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| c8g.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| c8g.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| c8g.48xlarge 2 | 40000 | 5000.0 | 240000 | 
| c8g.metal-24xl 2 | 30000 | 3750.0 | 120000 | 
| c8g.metal-48xl 2 | 40000 | 5000.0 | 240000 | 
| c8gb.medium 1 | 1562 | 25000 | 195.31 | 3125.00 | 7500 | 120000 | 
| c8gb.large 1 | 3125 | 25000 | 390.62 | 3125.00 | 15000 | 120000 | 
| c8gb.xlarge 1 | 6250 | 25000 | 781.25 | 3125.00 | 30000 | 120000 | 
| c8gb.2xlarge 1 | 12500 | 25000 | 1562.50 | 3125.00 | 60000 | 120000 | 
| c8gb.4xlarge 2 | 25000 | 3125.0 | 120000 | 
| c8gb.8xlarge 2 | 50000 | 6250.0 | 240000 | 
| c8gb.12xlarge 2 | 75000 | 9375.0 | 360000 | 
| c8gb.16xlarge 2 | 100000 | 12500.0 | 480000 | 
| c8gb.24xlarge 2 | 150000 | 18750.0 | 720000 | 
| c8gb.48xlarge 2 | 300000 | 37500.0 | 1440000 | 
| c8gb.metal-24xl 2 | 150000 | 18750.0 | 720000 | 
| c8gb.metal-48xl 2 | 300000 | 37500.0 | 1440000 | 
| c8gd.medium 1 | 315 | 10000 | 39.38 | 1250.00 | 2500 | 40000 | 
| c8gd.large 1 | 630 | 10000 | 78.75 | 1250.00 | 3600 | 40000 | 
| c8gd.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| c8gd.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| c8gd.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| c8gd.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| c8gd.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| c8gd.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| c8gd.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| c8gd.48xlarge 2 | 40000 | 5000.0 | 240000 | 
| c8gd.metal-24xl 2 | 30000 | 3750.0 | 120000 | 
| c8gd.metal-48xl 2 | 40000 | 5000.0 | 240000 | 
| c8gn.medium 1 | 760 | 10000 | 95.00 | 1250.00 | 2500 | 40000 | 
| c8gn.large 1 | 1250 | 10000 | 156.25 | 1250.00 | 5000 | 40000 | 
| c8gn.xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 10000 | 40000 | 
| c8gn.2xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| c8gn.4xlarge 2 | 10000 | 1250.0 | 40000 | 
| c8gn.8xlarge 2 | 20000 | 2500.0 | 80000 | 
| c8gn.12xlarge 2 | 30000 | 3750.0 | 120000 | 
| c8gn.16xlarge 2 | 40000 | 5000.0 | 160000 | 
| c8gn.24xlarge 2 | 60000 | 7500.0 | 240000 | 
| c8gn.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| c8gn.metal-24xl 2 | 60000 | 7500.0 | 240000 | 
| c8gn.metal-48xl 2 | 60000 | 7500.0 | 240000 | 
| c8i.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| c8i.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| c8i.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| c8i.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| c8i.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| c8i.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| c8i.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| c8i.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| c8i.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| c8i.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| c8i.96xlarge 2 | 80000 | 10000.0 | 480000 | 
| c8i.metal-48xl 2 | 60000 | 7500.0 | 240000 | 
| c8i.metal-96xl 2 | 80000 | 10000.0 | 480000 | 
| c8id.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| c8id.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| c8id.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| c8id.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| c8id.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| c8id.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| c8id.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| c8id.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| c8id.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| c8id.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| c8id.96xlarge 2 | 80000 | 10000.0 | 480000 | 
| c8id.metal-48xl 2 | 60000 | 7500.0 | 240000 | 
| c8id.metal-96xl 2 | 80000 | 10000.0 | 480000 | 
| c8i-flex.large 1 | 315 | 10000 | 39.38 | 1250.00 | 2500 | 40000 | 
| c8i-flex.xlarge 1 | 630 | 10000 | 78.75 | 1250.00 | 3600 | 40000 | 
| c8i-flex.2xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| c8i-flex.4xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| c8i-flex.8xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| c8i-flex.12xlarge 1 | 7500 | 15000 | 937.50 | 1875.00 | 30000 | 60000 | 
| c8i-flex.16xlarge 1 | 10000 | 20000 | 1250.00 | 2500.00 | 40000 | 80000 | 

1 这些实例可以至少每 24 小时维持一次 30 分钟的最大性能，之后会恢复到基线性能。

2 这些实例可以无限期地维持其既定性能。如果工作负载需要在超过 30 分钟的时长内保持最大性能，请选择以下任一实例。

### 内存优化型
<a name="current-memory-optimized"></a>

**注意**  
R8a、R8g、R8gd、R8i、R8id、R8i-flex、X8g、X8aedz、X8i 实例类型支持可配置的带宽权重。使用这些实例类型，您可以针对网络性能或 Amazon EBS 性能优化实例的带宽。下表显示了这些实例类型的默认 Amazon EBS 带宽性能。有关更多信息，请参阅 [EC2 实例带宽权重配置](configure-bandwidth-weighting.md)。
为了实现 U7i 实例的最佳 IOPS 性能，我们建议使用 io2 BlockExpress 卷。


| 实例大小 | 基准带宽（Mbps） | 最大带宽（Mbps） | 基准吞吐量（MB/s，128 KiB I/O） | 最大吞吐量（MB/s，128 KiB I/O） | 基准 IOPS（16KiB I/O） | 最大 IOPS（16KiB I/O） | 
| --- | --- | --- | --- | --- | --- | --- | 
| r4.large 2 | 425 | 53.125 | 3000 | 
| r4.xlarge 2 | 850 | 106.25 | 6000 | 
| r4.2xlarge 2 | 1700 | 212.5 | 12000 | 
| r4.4xlarge 2 | 3500 | 437.5 | 18750 | 
| r4.8xlarge 2 | 7000 | 875.0 | 37500 | 
| r4.16xlarge 2 | 14000 | 1750.0 | 75000 | 
| r5.large 1 | 650 | 4750 | 81.25 | 593.75 | 3600 | 18750 | 
| r5.xlarge 1 | 1150 | 4750 | 143.75 | 593.75 | 6000 | 18750 | 
| r5.2xlarge 1 | 2300 | 4750 | 287.50 | 593.75 | 12000 | 18750 | 
| r5.4xlarge 2 | 4750 | 593.75 | 18750 | 
| r5.8xlarge 2 | 6800 | 850.0 | 30000 | 
| r5.12xlarge 2 | 9500 | 1187.5 | 40000 | 
| r5.16xlarge 2 | 13600 | 1700.0 | 60000 | 
| r5.24xlarge 2 | 19000 | 2375.0 | 80000 | 
| r5.metal 2 | 19000 | 2375.0 | 80000 | 
| r5a.large 1 | 650 | 2880 | 81.25 | 360.00 | 3600 | 16000 | 
| r5a.xlarge 1 | 1085 | 2880 | 135.62 | 360.00 | 6000 | 16000 | 
| r5a.2xlarge 1 | 1580 | 2880 | 197.50 | 360.00 | 8333 | 16000 | 
| r5a.4xlarge 2 | 2880 | 360.0 | 16000 | 
| r5a.8xlarge 2 | 4750 | 593.75 | 20000 | 
| r5a.12xlarge 2 | 6780 | 847.5 | 30000 | 
| r5a.16xlarge 2 | 9500 | 1187.5 | 40000 | 
| r5a.24xlarge 2 | 13570 | 1696.25 | 60000 | 
| r5ad.large 1 | 650 | 2880 | 81.25 | 360.00 | 3600 | 16000 | 
| r5ad.xlarge 1 | 1085 | 2880 | 135.62 | 360.00 | 6000 | 16000 | 
| r5ad.2xlarge 1 | 1580 | 2880 | 197.50 | 360.00 | 8333 | 16000 | 
| r5ad.4xlarge 2 | 2880 | 360.0 | 16000 | 
| r5ad.8xlarge 2 | 4750 | 593.75 | 20000 | 
| r5ad.12xlarge 2 | 6780 | 847.5 | 30000 | 
| r5ad.16xlarge 2 | 9500 | 1187.5 | 40000 | 
| r5ad.24xlarge 2 | 13570 | 1696.25 | 60000 | 
| r5b.large 1 | 1250 | 10000 | 156.25 | 1250.00 | 5417 | 43333 | 
| r5b.xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 10833 | 43333 | 
| r5b.2xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 21667 | 43333 | 
| r5b.4xlarge 2 | 10000 | 1250.0 | 43333 | 
| r5b.8xlarge 2 | 20000 | 2500.0 | 86667 | 
| r5b.12xlarge 2 | 30000 | 3750.0 | 130000 | 
| r5b.16xlarge 2 | 40000 | 5000.0 | 173333 | 
| r5b.24xlarge 2 | 60000 | 7500.0 | 260000 | 
| r5b.metal 2 | 60000 | 7500.0 | 260000 | 
| r5d.large 1 | 650 | 4750 | 81.25 | 593.75 | 3600 | 18750 | 
| r5d.xlarge 1 | 1150 | 4750 | 143.75 | 593.75 | 6000 | 18750 | 
| r5d.2xlarge 1 | 2300 | 4750 | 287.50 | 593.75 | 12000 | 18750 | 
| r5d.4xlarge 2 | 4750 | 593.75 | 18750 | 
| r5d.8xlarge 2 | 6800 | 850.0 | 30000 | 
| r5d.12xlarge 2 | 9500 | 1187.5 | 40000 | 
| r5d.16xlarge 2 | 13600 | 1700.0 | 60000 | 
| r5d.24xlarge 2 | 19000 | 2375.0 | 80000 | 
| r5d.metal 2 | 19000 | 2375.0 | 80000 | 
| r5dn.large 1 | 650 | 4750 | 81.25 | 593.75 | 3600 | 18750 | 
| r5dn.xlarge 1 | 1150 | 4750 | 143.75 | 593.75 | 6000 | 18750 | 
| r5dn.2xlarge 1 | 2300 | 4750 | 287.50 | 593.75 | 12000 | 18750 | 
| r5dn.4xlarge 2 | 4750 | 593.75 | 18750 | 
| r5dn.8xlarge 2 | 6800 | 850.0 | 30000 | 
| r5dn.12xlarge 2 | 9500 | 1187.5 | 40000 | 
| r5dn.16xlarge 2 | 13600 | 1700.0 | 60000 | 
| r5dn.24xlarge 2 | 19000 | 2375.0 | 80000 | 
| r5dn.metal 2 | 19000 | 2375.0 | 80000 | 
| r5n.large 1 | 650 | 4750 | 81.25 | 593.75 | 3600 | 18750 | 
| r5n.xlarge 1 | 1150 | 4750 | 143.75 | 593.75 | 6000 | 18750 | 
| r5n.2xlarge 1 | 2300 | 4750 | 287.50 | 593.75 | 12000 | 18750 | 
| r5n.4xlarge 2 | 4750 | 593.75 | 18750 | 
| r5n.8xlarge 2 | 6800 | 850.0 | 30000 | 
| r5n.12xlarge 2 | 9500 | 1187.5 | 40000 | 
| r5n.16xlarge 2 | 13600 | 1700.0 | 60000 | 
| r5n.24xlarge 2 | 19000 | 2375.0 | 80000 | 
| r5n.metal 2 | 19000 | 2375.0 | 80000 | 
| r6a.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| r6a.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| r6a.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| r6a.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| r6a.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| r6a.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| r6a.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| r6a.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| r6a.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| r6a.48xlarge 2 | 40000 | 5000.0 | 240000 | 
| r6a.metal 2 | 40000 | 5000.0 | 240000 | 
| r6g.medium 1 | 315 | 4750 | 39.38 | 593.75 | 2500 | 20000 | 
| r6g.large 1 | 630 | 4750 | 78.75 | 593.75 | 3600 | 20000 | 
| r6g.xlarge 1 | 1188 | 4750 | 148.50 | 593.75 | 6000 | 20000 | 
| r6g.2xlarge 1 | 2375 | 4750 | 296.88 | 593.75 | 12000 | 20000 | 
| r6g.4xlarge 2 | 4750 | 593.75 | 20000 | 
| r6g.8xlarge 2 | 9500 | 1187.5 | 40000 | 
| r6g.12xlarge 2 | 14250 | 1781.25 | 50000 | 
| r6g.16xlarge 2 | 19000 | 2375.0 | 80000 | 
| r6g.metal 2 | 19000 | 2375.0 | 80000 | 
| r6gd.medium 1 | 315 | 4750 | 39.38 | 593.75 | 2500 | 20000 | 
| r6gd.large 1 | 630 | 4750 | 78.75 | 593.75 | 3600 | 20000 | 
| r6gd.xlarge 1 | 1188 | 4750 | 148.50 | 593.75 | 6000 | 20000 | 
| r6gd.2xlarge 1 | 2375 | 4750 | 296.88 | 593.75 | 12000 | 20000 | 
| r6gd.4xlarge 2 | 4750 | 593.75 | 20000 | 
| r6gd.8xlarge 2 | 9500 | 1187.5 | 40000 | 
| r6gd.12xlarge 2 | 14250 | 1781.25 | 50000 | 
| r6gd.16xlarge 2 | 19000 | 2375.0 | 80000 | 
| r6gd.metal 2 | 19000 | 2375.0 | 80000 | 
| r6i.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| r6i.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| r6i.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| r6i.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| r6i.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| r6i.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| r6i.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| r6i.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| r6i.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| r6i.metal 2 | 40000 | 5000.0 | 160000 | 
| r6id.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| r6id.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| r6id.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| r6id.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| r6id.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| r6id.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| r6id.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| r6id.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| r6id.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| r6id.metal 2 | 40000 | 5000.0 | 160000 | 
| r6idn.large 1 | 1562 | 25000 | 195.31 | 3125.00 | 6250 | 100000 | 
| r6idn.xlarge 1 | 3125 | 25000 | 390.62 | 3125.00 | 12500 | 100000 | 
| r6idn.2xlarge 1 | 6250 | 25000 | 781.25 | 3125.00 | 25000 | 100000 | 
| r6idn.4xlarge 1 | 12500 | 25000 | 1562.50 | 3125.00 | 50000 | 100000 | 
| r6idn.8xlarge 2 | 25000 | 3125.0 | 100000 | 
| r6idn.12xlarge 2 | 37500 | 4687.5 | 150000 | 
| r6idn.16xlarge 2 | 50000 | 6250.0 | 200000 | 
| r6idn.24xlarge 2 | 75000 | 9375.0 | 300000 | 
| r6idn.32xlarge 2 | 100000 | 12500.0 | 400000 | 
| r6idn.metal 2 | 100000 | 12500.0 | 400000 | 
| r6in.large 1 | 1562 | 25000 | 195.31 | 3125.00 | 6250 | 100000 | 
| r6in.xlarge 1 | 3125 | 25000 | 390.62 | 3125.00 | 12500 | 100000 | 
| r6in.2xlarge 1 | 6250 | 25000 | 781.25 | 3125.00 | 25000 | 100000 | 
| r6in.4xlarge 1 | 12500 | 25000 | 1562.50 | 3125.00 | 50000 | 100000 | 
| r6in.8xlarge 2 | 25000 | 3125.0 | 100000 | 
| r6in.12xlarge 2 | 37500 | 4687.5 | 150000 | 
| r6in.16xlarge 2 | 50000 | 6250.0 | 200000 | 
| r6in.24xlarge 2 | 75000 | 9375.0 | 300000 | 
| r6in.32xlarge 2 | 100000 | 12500.0 | 400000 | 
| r6in.metal 2 | 100000 | 12500.0 | 400000 | 
| r7a.medium 1 | 325 | 10000 | 40.62 | 1250.00 | 2500 | 40000 | 
| r7a.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| r7a.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| r7a.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| r7a.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| r7a.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| r7a.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| r7a.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| r7a.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| r7a.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| r7a.48xlarge 2 | 40000 | 5000.0 | 240000 | 
| r7a.metal-48xl 2 | 40000 | 5000.0 | 240000 | 
| r7g.medium 1 | 315 | 10000 | 39.38 | 1250.00 | 2500 | 40000 | 
| r7g.large 1 | 630 | 10000 | 78.75 | 1250.00 | 3600 | 40000 | 
| r7g.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| r7g.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| r7g.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| r7g.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| r7g.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| r7g.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| r7g.metal 2 | 20000 | 2500.0 | 80000 | 
| r7gd.medium 1 | 315 | 10000 | 39.38 | 1250.00 | 2500 | 40000 | 
| r7gd.large 1 | 630 | 10000 | 78.75 | 1250.00 | 3600 | 40000 | 
| r7gd.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| r7gd.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| r7gd.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| r7gd.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| r7gd.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| r7gd.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| r7gd.metal 2 | 20000 | 2500.0 | 80000 | 
| r7i.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| r7i.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| r7i.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| r7i.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| r7i.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| r7i.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| r7i.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| r7i.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| r7i.48xlarge 2 | 40000 | 5000.0 | 240000 | 
| r7i.metal-24xl 2 | 30000 | 3750.0 | 120000 | 
| r7i.metal-48xl 2 | 40000 | 5000.0 | 240000 | 
| r7iz.large 1 | 792 | 10000 | 99.00 | 1250.00 | 3600 | 40000 | 
| r7iz.xlarge 1 | 1584 | 10000 | 198.00 | 1250.00 | 6667 | 40000 | 
| r7iz.2xlarge 1 | 3168 | 10000 | 396.00 | 1250.00 | 13333 | 40000 | 
| r7iz.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| r7iz.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| r7iz.12xlarge 2 | 19000 | 2375.0 | 76000 | 
| r7iz.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| r7iz.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| r7iz.metal-16xl 2 | 20000 | 2500.0 | 80000 | 
| r7iz.metal-32xl 2 | 40000 | 5000.0 | 160000 | 
| r8a.medium 1 | 325 | 10000 | 40.62 | 1250.00 | 2500 | 40000 | 
| r8a.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| r8a.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| r8a.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| r8a.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| r8a.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| r8a.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| r8a.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| r8a.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| r8a.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| r8a.metal-24xl 2 | 30000 | 3750.0 | 120000 | 
| r8a.metal-48xl 2 | 60000 | 7500.0 | 240000 | 
| r8g.medium 1 | 315 | 10000 | 39.38 | 1250.00 | 2500 | 40000 | 
| r8g.large 1 | 630 | 10000 | 78.75 | 1250.00 | 3600 | 40000 | 
| r8g.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| r8g.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| r8g.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| r8g.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| r8g.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| r8g.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| r8g.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| r8g.48xlarge 2 | 40000 | 5000.0 | 240000 | 
| r8g.metal-24xl 2 | 30000 | 3750.0 | 120000 | 
| r8g.metal-48xl 2 | 40000 | 5000.0 | 240000 | 
| r8gb.medium 1 | 1562 | 25000 | 195.31 | 3125.00 | 7500 | 120000 | 
| r8gb.large 1 | 3125 | 25000 | 390.62 | 3125.00 | 15000 | 120000 | 
| r8gb.xlarge 1 | 6250 | 25000 | 781.25 | 3125.00 | 30000 | 120000 | 
| r8gb.2xlarge 1 | 12500 | 25000 | 1562.50 | 3125.00 | 60000 | 120000 | 
| r8gb.4xlarge 2 | 25000 | 3125.0 | 120000 | 
| r8gb.8xlarge 2 | 50000 | 6250.0 | 240000 | 
| r8gb.12xlarge 2 | 75000 | 9375.0 | 360000 | 
| r8gb.16xlarge 2 | 100000 | 12500.0 | 480000 | 
| r8gb.24xlarge 2 | 150000 | 18750.0 | 720000 | 
| r8gb.48xlarge 2 | 300000 | 37500.0 | 1440000 | 
| r8gb.metal-24xl 2 | 150000 | 18750.0 | 720000 | 
| r8gb.metal-48xl 2 | 300000 | 37500.0 | 1440000 | 
| r8gd.medium 1 | 315 | 10000 | 39.38 | 1250.00 | 2500 | 40000 | 
| r8gd.large 1 | 630 | 10000 | 78.75 | 1250.00 | 3600 | 40000 | 
| r8gd.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| r8gd.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| r8gd.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| r8gd.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| r8gd.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| r8gd.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| r8gd.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| r8gd.48xlarge 2 | 40000 | 5000.0 | 240000 | 
| r8gd.metal-24xl 2 | 30000 | 3750.0 | 120000 | 
| r8gd.metal-48xl 2 | 40000 | 5000.0 | 240000 | 
| r8gn.medium 1 | 760 | 10000 | 95.00 | 1250.00 | 2500 | 40000 | 
| r8gn.large 1 | 1250 | 10000 | 156.25 | 1250.00 | 5000 | 40000 | 
| r8gn.xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 10000 | 40000 | 
| r8gn.2xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| r8gn.4xlarge 2 | 10000 | 1250.0 | 40000 | 
| r8gn.8xlarge 2 | 20000 | 2500.0 | 80000 | 
| r8gn.12xlarge 2 | 30000 | 3750.0 | 120000 | 
| r8gn.16xlarge 2 | 40000 | 5000.0 | 160000 | 
| r8gn.24xlarge 2 | 60000 | 7500.0 | 240000 | 
| r8gn.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| r8gn.metal-24xl 2 | 60000 | 7500.0 | 240000 | 
| r8gn.metal-48xl 2 | 60000 | 7500.0 | 240000 | 
| r8i.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| r8i.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| r8i.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| r8i.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| r8i.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| r8i.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| r8i.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| r8i.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| r8i.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| r8i.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| r8i.96xlarge 2 | 80000 | 10000.0 | 480000 | 
| r8i.metal-48xl 2 | 60000 | 7500.0 | 240000 | 
| r8i.metal-96xl 2 | 80000 | 10000.0 | 480000 | 
| r8id.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| r8id.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| r8id.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| r8id.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| r8id.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| r8id.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| r8id.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| r8id.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| r8id.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| r8id.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| r8id.96xlarge 2 | 80000 | 10000.0 | 480000 | 
| r8id.metal-48xl 2 | 60000 | 7500.0 | 240000 | 
| r8id.metal-96xl 2 | 80000 | 10000.0 | 480000 | 
| r8i-flex.large 1 | 315 | 10000 | 39.38 | 1250.00 | 2500 | 40000 | 
| r8i-flex.xlarge 1 | 630 | 10000 | 78.75 | 1250.00 | 3600 | 40000 | 
| r8i-flex.2xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| r8i-flex.4xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| r8i-flex.8xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| r8i-flex.12xlarge 1 | 7500 | 15000 | 937.50 | 1875.00 | 30000 | 60000 | 
| r8i-flex.16xlarge 1 | 10000 | 20000 | 1250.00 | 2500.00 | 40000 | 80000 | 
| u-3tb1.56xlarge 2 | 19000 | 2375.0 | 80000 | 
| u-6tb1.56xlarge 2 | 38000 | 4750.0 | 160000 | 
| u-6tb1.112xlarge 2 | 38000 | 4750.0 | 160000 | 
| u-6tb1.metal 2 | 38000 | 4750.0 | 160000 | 
| u-9tb1.112xlarge 2 | 38000 | 4750.0 | 160000 | 
| u-9tb1.metal 2 | 38000 | 4750.0 | 160000 | 
| u-12tb1.112xlarge 2 | 38000 | 4750.0 | 160000 | 
| u-12tb1.metal 2 | 38000 | 4750.0 | 160000 | 
| u-18tb1.112xlarge 2 | 38000 | 4750.0 | 160000 | 
| u-18tb1.metal 2 | 38000 | 4750.0 | 160000 | 
| u-24tb1.112xlarge 2 | 38000 | 4750.0 | 160000 | 
| u-24tb1.metal 2 | 38000 | 4750.0 | 160000 | 
| u7i-6tb.112xlarge 2 | 100000 | 12500.0 | 560000 | 
| u7i-8tb.112xlarge 2 | 100000 | 12500.0 | 560000 | 
| u7i-12tb.224xlarge 2 | 100000 | 12500.0 | 560000 | 
| u7in-16tb.224xlarge 2 | 100000 | 12500.0 | 560000 | 
| u7in-24tb.224xlarge 2 | 100000 | 12500.0 | 560000 | 
| u7in-32tb.224xlarge 2 | 100000 | 12500.0 | 560000 | 
| u7inh-32tb.480xlarge 2 | 160000 | 20000.0 | 840000 | 
| x1.16xlarge 2 | 7000 | 875.0 | 40000 | 
| x1.32xlarge 2 | 14000 | 1750.0 | 80000 | 
| x1e.xlarge 2 | 500 | 62.5 | 3700 | 
| x1e.2xlarge 2 | 1000 | 125.0 | 7400 | 
| x1e.4xlarge 2 | 1750 | 218.75 | 10000 | 
| x1e.8xlarge 2 | 3500 | 437.5 | 20000 | 
| x1e.16xlarge 2 | 7000 | 875.0 | 40000 | 
| x1e.32xlarge 2 | 14000 | 1750.0 | 80000 | 
| x2gd.medium 1 | 315 | 4750 | 39.38 | 593.75 | 2500 | 20000 | 
| x2gd.large 1 | 630 | 4750 | 78.75 | 593.75 | 3600 | 20000 | 
| x2gd.xlarge 1 | 1188 | 4750 | 148.50 | 593.75 | 6000 | 20000 | 
| x2gd.2xlarge 1 | 2375 | 4750 | 296.88 | 593.75 | 12000 | 20000 | 
| x2gd.4xlarge 2 | 4750 | 593.75 | 20000 | 
| x2gd.8xlarge 2 | 9500 | 1187.5 | 40000 | 
| x2gd.12xlarge 2 | 14250 | 1781.25 | 60000 | 
| x2gd.16xlarge 2 | 19000 | 2375.0 | 80000 | 
| x2gd.metal 2 | 19000 | 2375.0 | 80000 | 
| x2idn.16xlarge 2 | 40000 | 5000.0 | 173333 | 
| x2idn.24xlarge 2 | 60000 | 7500.0 | 260000 | 
| x2idn.32xlarge 2 | 80000 | 10000.0 | 260000 | 
| x2idn.metal 2 | 80000 | 10000.0 | 260000 | 
| x2iedn.xlarge 1 | 2500 | 20000 | 312.50 | 2500.00 | 8125 | 65000 | 
| x2iedn.2xlarge 1 | 5000 | 20000 | 625.00 | 2500.00 | 16250 | 65000 | 
| x2iedn.4xlarge 1 | 10000 | 20000 | 1250.00 | 2500.00 | 32500 | 65000 | 
| x2iedn.8xlarge 2 | 20000 | 2500.0 | 65000 | 
| x2iedn.16xlarge 2 | 40000 | 5000.0 | 130000 | 
| x2iedn.24xlarge 2 | 60000 | 7500.0 | 195000 | 
| x2iedn.32xlarge 2 | 80000 | 10000.0 | 260000 | 
| x2iedn.metal 2 | 80000 | 10000.0 | 260000 | 
| x2iezn.2xlarge 2 | 3170 | 396.25 | 13333 | 
| x2iezn.4xlarge 2 | 4750 | 593.75 | 20000 | 
| x2iezn.6xlarge 2 | 9500 | 1187.5 | 40000 | 
| x2iezn.8xlarge 2 | 12000 | 1500.0 | 55000 | 
| x2iezn.12xlarge 2 | 19000 | 2375.0 | 80000 | 
| x2iezn.metal 2 | 19000 | 2375.0 | 80000 | 
| x8g.medium 1 | 315 | 10000 | 39.38 | 1250.00 | 2500 | 40000 | 
| x8g.large 1 | 630 | 10000 | 78.75 | 1250.00 | 3600 | 40000 | 
| x8g.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| x8g.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| x8g.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| x8g.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| x8g.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| x8g.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| x8g.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| x8g.48xlarge 2 | 40000 | 5000.0 | 240000 | 
| x8g.metal-24xl 2 | 30000 | 3750.0 | 120000 | 
| x8g.metal-48xl 2 | 40000 | 5000.0 | 240000 | 
| x8aedz.large 1 | 1250 | 15000 | 156.25 | 1875.00 | 5000 | 60000 | 
| x8aedz.xlarge 1 | 2500 | 15000 | 312.50 | 1875.00 | 10000 | 60000 | 
| x8aedz.3xlarge 1 | 7500 | 15000 | 937.50 | 1875.00 | 30000 | 60000 | 
| x8aedz.6xlarge 2 | 15000 | 1875.0 | 60000 | 
| x8aedz.12xlarge 2 | 30000 | 3750.0 | 120000 | 
| x8aedz.24xlarge 2 | 60000 | 7500.0 | 240000 | 
| x8aedz.metal-12xl 2 | 30000 | 3750.0 | 120000 | 
| x8aedz.metal-24xl 2 | 60000 | 7500.0 | 240000 | 
| x8i.large 1 | 650 | 10000 | 81.25 | 1250.00 | 3600 | 40000 | 
| x8i.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| x8i.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 12000 | 40000 | 
| x8i.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| x8i.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| x8i.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| x8i.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| x8i.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| x8i.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| x8i.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| x8i.64xlarge 2 | 70000 | 8750.0 | 320000 | 
| x8i.96xlarge 2 | 80000 | 10000.0 | 480000 | 
| x8i.metal-48xl 2 | 60000 | 7500.0 | 240000 | 
| x8i.metal-96xl 2 | 80000 | 10000.0 | 480000 | 
| z1d.large 1 | 800 | 3170 | 100.00 | 396.25 | 3333 | 13333 | 
| z1d.xlarge 1 | 1580 | 3170 | 197.50 | 396.25 | 6667 | 13333 | 
| z1d.2xlarge 2 | 3170 | 396.25 | 13333 | 
| z1d.3xlarge 2 | 4750 | 593.75 | 20000 | 
| z1d.6xlarge 2 | 9500 | 1187.5 | 40000 | 
| z1d.12xlarge 2 | 19000 | 2375.0 | 80000 | 
| z1d.metal 2 | 19000 | 2375.0 | 80000 | 

1 这些实例可以至少每 24 小时维持一次 30 分钟的最大性能，之后会恢复到基线性能。

2 这些实例可以无限期地维持其既定性能。如果工作负载需要在超过 30 分钟的时长内保持最大性能，请选择以下任一实例。

### 存储优化
<a name="current-storage-optimized"></a>


| 实例大小 | 基准带宽（Mbps） | 最大带宽（Mbps） | 基准吞吐量（MB/s，128 KiB I/O） | 最大吞吐量（MB/s，128 KiB I/O） | 基准 IOPS（16KiB I/O） | 最大 IOPS（16KiB I/O） | 
| --- | --- | --- | --- | --- | --- | --- | 
| d2.xlarge 2 | 750 | 93.75 | 6000 | 
| d2.2xlarge 2 | 1000 | 125.0 | 8000 | 
| d2.4xlarge 2 | 2000 | 250.0 | 16000 | 
| d2.8xlarge 2 | 4000 | 500.0 | 32000 | 
| d3.xlarge 1 | 850 | 2800 | 106.25 | 350.00 | 5000 | 15000 | 
| d3.2xlarge 1 | 1700 | 2800 | 212.50 | 350.00 | 10000 | 15000 | 
| d3.4xlarge 2 | 2800 | 350.0 | 15000 | 
| d3.8xlarge 2 | 5000 | 625.0 | 30000 | 
| d3en.xlarge 1 | 850 | 2800 | 106.25 | 350.00 | 5000 | 15000 | 
| d3en.2xlarge 1 | 1700 | 2800 | 212.50 | 350.00 | 10000 | 15000 | 
| d3en.4xlarge 2 | 2800 | 350.0 | 15000 | 
| d3en.6xlarge 2 | 4000 | 500.0 | 25000 | 
| d3en.8xlarge 2 | 5000 | 625.0 | 30000 | 
| d3en.12xlarge 2 | 7000 | 875.0 | 40000 | 
| h1.2xlarge 2 | 1750 | 218.75 | 12000 | 
| h1.4xlarge 2 | 3500 | 437.5 | 20000 | 
| h1.8xlarge 2 | 7000 | 875.0 | 40000 | 
| h1.16xlarge 2 | 14000 | 1750.0 | 80000 | 
| i3.large 2 | 425 | 53.125 | 3000 | 
| i3.xlarge 2 | 850 | 106.25 | 6000 | 
| i3.2xlarge 2 | 1700 | 212.5 | 12000 | 
| i3.4xlarge 2 | 3500 | 437.5 | 16000 | 
| i3.8xlarge 2 | 7000 | 875.0 | 32500 | 
| i3.16xlarge 2 | 14000 | 1750.0 | 65000 | 
| i3.metal 2 | 19000 | 2375.0 | 80000 | 
| i3en.large 1 | 576 | 4750 | 72.10 | 593.75 | 3000 | 20000 | 
| i3en.xlarge 1 | 1153 | 4750 | 144.20 | 593.75 | 6000 | 20000 | 
| i3en.2xlarge 1 | 2307 | 4750 | 288.39 | 593.75 | 12000 | 20000 | 
| i3en.3xlarge 1 | 3800 | 4750 | 475.00 | 593.75 | 15000 | 20000 | 
| i3en.6xlarge 2 | 4750 | 593.75 | 20000 | 
| i3en.12xlarge 2 | 9500 | 1187.5 | 40000 | 
| i3en.24xlarge 2 | 19000 | 2375.0 | 80000 | 
| i3en.metal 2 | 19000 | 2375.0 | 80000 | 
| i4g.large 1 | 625 | 10000 | 78.12 | 1250.00 | 2500 | 40000 | 
| i4g.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 5000 | 40000 | 
| i4g.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 10000 | 40000 | 
| i4g.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| i4g.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| i4g.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| i4i.large 1 | 625 | 10000 | 78.12 | 1250.00 | 2500 | 40000 | 
| i4i.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 5000 | 40000 | 
| i4i.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 10000 | 40000 | 
| i4i.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| i4i.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| i4i.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| i4i.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| i4i.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| i4i.32xlarge 2 | 40000 | 5000.0 | 160000 | 
| i4i.metal 2 | 40000 | 5000.0 | 160000 | 
| i7i.large 1 | 625 | 10000 | 78.12 | 1250.00 | 2500 | 40000 | 
| i7i.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 5000 | 40000 | 
| i7i.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 10000 | 40000 | 
| i7i.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| i7i.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| i7i.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| i7i.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| i7i.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| i7i.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| i7i.metal-24xl 2 | 30000 | 3750.0 | 120000 | 
| i7i.metal-48xl 2 | 60000 | 7500.0 | 240000 | 
| i7ie.large 1 | 625 | 10000 | 78.12 | 1250.00 | 2500 | 40000 | 
| i7ie.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 5000 | 40000 | 
| i7ie.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 10000 | 40000 | 
| i7ie.3xlarge 1 | 3750 | 10000 | 468.75 | 1250.00 | 15000 | 40000 | 
| i7ie.6xlarge 1 | 7500 | 10000 | 937.50 | 1250.00 | 30000 | 40000 | 
| i7ie.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| i7ie.18xlarge 2 | 22500 | 2812.5 | 90000 | 
| i7ie.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| i7ie.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| i7ie.metal-24xl 2 | 30000 | 3750.0 | 120000 | 
| i7ie.metal-48xl 2 | 60000 | 7500.0 | 240000 | 
| i8g.large 1 | 625 | 10000 | 78.12 | 1250.00 | 2500 | 40000 | 
| i8g.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 5000 | 40000 | 
| i8g.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 10000 | 40000 | 
| i8g.4xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| i8g.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| i8g.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| i8g.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| i8g.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| i8g.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| i8g.metal-24xl 2 | 30000 | 3750.0 | 120000 | 
| i8g.metal-48xl 2 | 60000 | 7500.0 | 240000 | 
| i8ge.large 1 | 625 | 10000 | 78.12 | 1250.00 | 2500 | 40000 | 
| i8ge.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 5000 | 40000 | 
| i8ge.2xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 10000 | 40000 | 
| i8ge.3xlarge 1 | 3750 | 10000 | 468.75 | 1250.00 | 15000 | 40000 | 
| i8ge.6xlarge 1 | 7500 | 10000 | 937.50 | 1250.00 | 30000 | 40000 | 
| i8ge.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| i8ge.18xlarge 2 | 22500 | 2812.5 | 90000 | 
| i8ge.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| i8ge.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| i8ge.metal-24xl 2 | 30000 | 3750.0 | 120000 | 
| i8ge.metal-48xl 2 | 60000 | 7500.0 | 240000 | 
| im4gn.large 1 | 1250 | 10000 | 156.25 | 1250.00 | 5000 | 40000 | 
| im4gn.xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 10000 | 40000 | 
| im4gn.2xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| im4gn.4xlarge 2 | 10000 | 1250.0 | 40000 | 
| im4gn.8xlarge 2 | 20000 | 2500.0 | 80000 | 
| im4gn.16xlarge 2 | 40000 | 5000.0 | 160000 | 
| is4gen.medium 1 | 625 | 10000 | 78.12 | 1250.00 | 2500 | 40000 | 
| is4gen.large 1 | 1250 | 10000 | 156.25 | 1250.00 | 5000 | 40000 | 
| is4gen.xlarge 1 | 2500 | 10000 | 312.50 | 1250.00 | 10000 | 40000 | 
| is4gen.2xlarge 1 | 5000 | 10000 | 625.00 | 1250.00 | 20000 | 40000 | 
| is4gen.4xlarge 2 | 10000 | 1250.0 | 40000 | 
| is4gen.8xlarge 2 | 20000 | 2500.0 | 80000 | 

1 这些实例可以至少每 24 小时维持一次 30 分钟的最大性能，之后会恢复到基线性能。

2 这些实例可以无限期地维持其既定性能。如果工作负载需要在超过 30 分钟的时长内保持最大性能，请选择以下任一实例。

### 加速计算型
<a name="current-accelerated-computing"></a>


| 实例大小 | 基准带宽（Mbps） | 最大带宽（Mbps） | 基准吞吐量（MB/s，128 KiB I/O） | 最大吞吐量（MB/s，128 KiB I/O） | 基准 IOPS（16KiB I/O） | 最大 IOPS（16KiB I/O） | 
| --- | --- | --- | --- | --- | --- | --- | 
| dl1.24xlarge 2 | 19000 | 2375.0 | 80000 | 
| dl2q.24xlarge 2 | 19000 | 2375.0 | 80000 | 
| f1.2xlarge 2 | 1700 | 212.5 | 12000 | 
| f1.4xlarge 2 | 3500 | 437.5 | 44000 | 
| f1.16xlarge 2 | 14000 | 1750.0 | 75000 | 
| f2.6xlarge 2 | 7500 | 937.5 | 30000 | 
| f2.12xlarge 2 | 15000 | 1875.0 | 60000 | 
| f2.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| g3.4xlarge 2 | 3500 | 437.5 | 20000 | 
| g3.8xlarge 2 | 7000 | 875.0 | 40000 | 
| g3.16xlarge 2 | 14000 | 1750.0 | 80000 | 
| g4ad.xlarge 1 | 400 | 3170 | 50.00 | 396.25 | 1700 | 13333 | 
| g4ad.2xlarge 1 | 800 | 3170 | 100.00 | 396.25 | 3400 | 13333 | 
| g4ad.4xlarge 1 | 1580 | 3170 | 197.50 | 396.25 | 6700 | 13333 | 
| g4ad.8xlarge 2 | 3170 | 396.25 | 13333 | 
| g4ad.16xlarge 2 | 6300 | 787.5 | 26667 | 
| g4dn.xlarge 1 | 950 | 3500 | 118.75 | 437.50 | 3000 | 20000 | 
| g4dn.2xlarge 1 | 1150 | 3500 | 143.75 | 437.50 | 6000 | 20000 | 
| g4dn.4xlarge 2 | 4750 | 593.75 | 20000 | 
| g4dn.8xlarge 2 | 9500 | 1187.5 | 40000 | 
| g4dn.12xlarge 2 | 9500 | 1187.5 | 40000 | 
| g4dn.16xlarge 2 | 9500 | 1187.5 | 40000 | 
| g4dn.metal 2 | 19000 | 2375.0 | 80000 | 
| g5.xlarge 1 | 700 | 3500 | 87.50 | 437.50 | 3000 | 15000 | 
| g5.2xlarge 1 | 850 | 3500 | 106.25 | 437.50 | 3500 | 15000 | 
| g5.4xlarge 2 | 4750 | 593.75 | 20000 | 
| g5.8xlarge 2 | 16000 | 2000.0 | 65000 | 
| g5.12xlarge 2 | 16000 | 2000.0 | 65000 | 
| g5.16xlarge 2 | 16000 | 2000.0 | 65000 | 
| g5.24xlarge 2 | 19000 | 2375.0 | 80000 | 
| g5.48xlarge 2 | 19000 | 2375.0 | 80000 | 
| g5g.xlarge 1 | 1188 | 4750 | 148.50 | 593.75 | 6000 | 20000 | 
| g5g.2xlarge 1 | 2375 | 4750 | 296.88 | 593.75 | 12000 | 20000 | 
| g5g.4xlarge 2 | 4750 | 593.75 | 20000 | 
| g5g.8xlarge 2 | 9500 | 1187.5 | 40000 | 
| g5g.16xlarge 2 | 19000 | 2375.0 | 80000 | 
| g5g.metal 2 | 19000 | 2375.0 | 80000 | 
| g6.xlarge 1 | 1000 | 5000 | 125.00 | 625.00 | 4000 | 20000 | 
| g6.2xlarge 1 | 2000 | 5000 | 250.00 | 625.00 | 8000 | 20000 | 
| g6.4xlarge 2 | 8000 | 1000.0 | 32000 | 
| g6.8xlarge 2 | 16000 | 2000.0 | 64000 | 
| g6.12xlarge 2 | 20000 | 2500.0 | 80000 | 
| g6.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| g6.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| g6.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| g6e.xlarge 1 | 1000 | 5000 | 125.00 | 625.00 | 4000 | 20000 | 
| g6e.2xlarge 1 | 2000 | 5000 | 250.00 | 625.00 | 8000 | 20000 | 
| g6e.4xlarge 2 | 8000 | 1000.0 | 32000 | 
| g6e.8xlarge 2 | 16000 | 2000.0 | 64000 | 
| g6e.12xlarge 2 | 20000 | 2500.0 | 80000 | 
| g6e.16xlarge 2 | 20000 | 2500.0 | 80000 | 
| g6e.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| g6e.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| g6f.large 1 | 936 | 5000 | 117.00 | 625.00 | 3750 | 20000 | 
| g6f.xlarge 1 | 1000 | 5000 | 125.00 | 625.00 | 4000 | 20000 | 
| g6f.2xlarge 1 | 2000 | 5000 | 250.00 | 625.00 | 8000 | 20000 | 
| g6f.4xlarge 2 | 6000 | 750.0 | 24000 | 
| gr6.4xlarge 2 | 8000 | 1000.0 | 32000 | 
| gr6.8xlarge 2 | 16000 | 2000.0 | 64000 | 
| gr6f.4xlarge 2 | 8000 | 1000.0 | 32000 | 
| g7e.2xlarge 1 | 2000 | 5000 | 250.00 | 625.00 | 8000 | 20000 | 
| g7e.4xlarge 2 | 8000 | 1000.0 | 32000 | 
| g7e.8xlarge 2 | 16000 | 2000.0 | 64000 | 
| g7e.12xlarge 2 | 25000 | 3125.0 | 100000 | 
| g7e.24xlarge 2 | 50000 | 6250.0 | 200000 | 
| g7e.48xlarge 2 | 100000 | 12500.0 | 400000 | 
| inf1.xlarge 1 | 1190 | 4750 | 148.75 | 593.75 | 4000 | 20000 | 
| inf1.2xlarge 1 | 1190 | 4750 | 148.75 | 593.75 | 6000 | 20000 | 
| inf1.6xlarge 2 | 4750 | 593.75 | 20000 | 
| inf1.24xlarge 2 | 19000 | 2375.0 | 80000 | 
| inf2.xlarge 1 | 1250 | 10000 | 156.25 | 1250.00 | 6000 | 40000 | 
| inf2.8xlarge 2 | 10000 | 1250.0 | 40000 | 
| inf2.24xlarge 2 | 30000 | 3750.0 | 120000 | 
| inf2.48xlarge 2 | 60000 | 7500.0 | 240000 | 
| p3.2xlarge 2 | 1750 | 218.75 | 10000 | 
| p3.8xlarge 2 | 7000 | 875.0 | 40000 | 
| p3.16xlarge 2 | 14000 | 1750.0 | 80000 | 
| p3dn.24xlarge 2 | 19000 | 2375.0 | 80000 | 
| p4d.24xlarge 2 | 19000 | 2375.0 | 80000 | 
| p4de.24xlarge 2 | 19000 | 2375.0 | 80000 | 
| p5.4xlarge 2 | 10000 | 1250.0 | 32500 | 
| p5.48xlarge 2 | 80000 | 10000.0 | 260000 | 
| p5e.48xlarge 2 | 80000 | 10000.0 | 260000 | 
| p5en.48xlarge 2 | 100000 | 12500.0 | 400000 | 
| p6-b200.48xlarge 2 | 100000 | 12500.0 | 400000 | 
| p6-b300.48xlarge 2 | 100000 | 12500.0 | 400000 | 
| p6e-gb200.36xlarge 2 | 60000 | 7500.0 | 240000 | 
| trn1.2xlarge 1 | 5000 | 20000 | 625.00 | 2500.00 | 16250 | 65000 | 
| trn1.32xlarge 2 | 80000 | 10000.0 | 260000 | 
| trn1n.32xlarge 2 | 80000 | 10000.0 | 260000 | 
| trn2.3xlarge 2 | 5000 | 625.0 | 16250 | 
| trn2.48xlarge 2 | 80000 | 10000.0 | 260000 | 
| trn2u.48xlarge 2 | 80000 | 10000.0 | 260000 | 
| vt1.3xlarge 1 | 2375 | 4750 | 296.88 | 593.75 | 10000 | 20000 | 
| vt1.6xlarge 2 | 4750 | 593.75 | 20000 | 
| vt1.24xlarge 2 | 19000 | 2375.0 | 80000 | 

1 这些实例可以至少每 24 小时维持一次 30 分钟的最大性能，之后会恢复到基线性能。

2 这些实例可以无限期地维持其既定性能。如果工作负载需要在超过 30 分钟的时长内保持最大性能，请选择以下任一实例。

### 高性能计算
<a name="current-high-performance-computing"></a>


| 实例大小 | 基准带宽（Mbps） | 最大带宽（Mbps） | 基准吞吐量（MB/s，128 KiB I/O） | 最大吞吐量（MB/s，128 KiB I/O） | 基准 IOPS（16KiB I/O） | 最大 IOPS（16KiB I/O） | 
| --- | --- | --- | --- | --- | --- | --- | 
| hpc6a.48xlarge 1 | 87 | 2085 | 10.88 | 260.62 | 500 | 11000 | 
| hpc6id.32xlarge 1 | 87 | 2085 | 10.88 | 260.62 | 500 | 11000 | 
| hpc7a.12xlarge 1 | 87 | 2085 | 10.88 | 260.62 | 500 | 11000 | 
| hpc7a.24xlarge 1 | 87 | 2085 | 10.88 | 260.62 | 500 | 11000 | 
| hpc7a.48xlarge 1 | 87 | 2085 | 10.88 | 260.62 | 500 | 11000 | 
| hpc7a.96xlarge 1 | 87 | 2085 | 10.88 | 260.62 | 500 | 11000 | 
| hpc7g.4xlarge 1 | 87 | 2085 | 10.88 | 260.62 | 500 | 11000 | 
| hpc7g.8xlarge 1 | 87 | 2085 | 10.88 | 260.62 | 500 | 11000 | 
| hpc7g.16xlarge 1 | 87 | 2085 | 10.88 | 260.62 | 500 | 11000 | 
| hpc8a.96xlarge 1 | 87 | 2085 | 10.88 | 260.62 | 500 | 11000 | 

1 这些实例可以至少每 24 小时维持一次 30 分钟的最大性能，之后会恢复到基线性能。

2 这些实例可以无限期地维持其既定性能。如果工作负载需要在超过 30 分钟的时长内保持最大性能，请选择以下任一实例。

## 支持的 EBS 优化
<a name="previous"></a>

以下实例类型支持 EBS 优化，但默认情况下不启用 EBS 优化。您必须在启动期间或之后启用 EBS 优化，以达到所述的 EBS 性能水平，但需支付[额外的小时费用](https://aws.amazon.com/ec2/previous-generation/#EBS-optimized_instances)。


| 实例大小 | 最大带宽 (Mbps) | 最大吞吐量（MB/s，128 KiB I/O） | 最大 IOPS (16 KiB I/O) | 
| --- | --- | --- | --- | 
| c1.xlarge | 1000 | 125.0 | 8000 | 
| c3.xlarge | 500 | 62.5 | 4000 | 
| c3.2xlarge | 1000 | 125.0 | 8000 | 
| c3.4xlarge | 2000 | 250.0 | 16000 | 
| i2.xlarge | 500 | 62.5 | 4000 | 
| i2.2xlarge | 1000 | 125.0 | 8000 | 
| i2.4xlarge | 2000 | 250.0 | 16000 | 
| m1.large | 500 | 62.5 | 4000 | 
| m1.xlarge | 1000 | 125.0 | 8000 | 
| m2.2xlarge | 500 | 62.5 | 4000 | 
| m2.4xlarge | 1000 | 125.0 | 8000 | 
| m3.xlarge | 500 | 62.5 | 4000 | 
| m3.2xlarge | 1000 | 125.0 | 8000 | 
| r3.xlarge | 500 | 62.5 | 4000 | 
| r3.2xlarge | 1000 | 125.0 | 8000 | 
| r3.4xlarge | 2000 | 250.0 | 16000 | 

**注意**  
`i2.8xlarge`、`c3.8xlarge` 和 `r3.8xlarge` 实例没有专用 EBS 带宽，因此不提供 EBS 优化。在这些实例上，网络流量和 Amazon EBS 流量将共用同一 10 Gb 网络接口。

# 获得最佳的 Amazon EBS 优化性能
<a name="ebs-optimization-performance"></a>

实例的 EBS 性能受实例类型的性能限制或其附加卷的聚合性能的限制，以较小者为准。要实现最大的 EBS 性能，实例必须附加卷以提供等于或大于最大实例性能的总性能。例如，要实现 `r6i.16xlarge` 的 `80,000` IOPS，实例必须至少具有预置了 `16,000` IOPS 的 `5` 个 `gp2` 卷（`5` 个卷 x `16,000` IOPS = `80,000` IOPS），或具有预置了 `80,000` IOPS 的 `1` 个 `gp3` 卷。建议您选择一种实例类型，其提供的专用 Amazon EBS 吞吐量高于您的应用程序需求；否则，Amazon EBS 与 Amazon EC2 的连接将成为性能瓶颈。

**重要**  
使用可配置的带宽权重时，实例的 EBS 带宽限制可能会改变。对于使用 `VPC-1` 加权配置的实例（可增加网络带宽），由于在 IOPS 限制之前先达到 EBS 带宽限制，因此 EBS 卷的 IOPS 可能会低于预期。对于较大的 I/O 大小，这一点尤为明显。请始终测试您的特定工作负载，确保其符合您选择的带宽权重的性能要求。有关更多信息，请参阅 [EC2 实例带宽权重配置](configure-bandwidth-weighting.md)。

您可以使用 `EBSIOBalance%` 和 `EBSByteBalance%` 指标来帮助您确定您的实例是否正确调整了大小。您可以在 CloudWatch 控制台中查看这些指标，并设置将根据您指定的阈值触发的警报。这些指标以百分比形式表示。具有持续低余额百分比的实例是上调大小的候选对象。余额百分比从未低于 100% 的实例是下调大小的候选对象。有关更多信息，请参阅[使用 CloudWatch 监控您的实例](using-cloudwatch.md)。

内存增强型实例适合在云中运行大型内存中数据库，包括 SAP HANA 内存数据库的生产部署。要最大限度提高 EBS 性能，请使用包含偶数个 `io1` 或 `io2` 卷（具有相同的预置性能）的内存增强型实例。例如，对于 IOPS 密集型工作负载，请使用 4 个具有 40,000 预调配 IOPS 的 `io1` 或 `io2` 卷以获得最高 160,000 的实例 IOPS。同样，对于吞吐量密集型工作负载，请使用 6 个具有 48,000 预调配 IOPS 的 `io1` 或 `io2` 卷以获得最高 4,750 MB/s 的吞吐量。有关其他建议，请参阅 [SAP HANA 的存储配置](https://docs.aws.amazon.com/sap/latest/sap-hana/hana-ops-storage-config.html)。

**注意事项**
+ 2020 年 2 月 26 日之后启动的 G4dn、I3en、Inf1、M5a、M5ad、R5a、R5ad、T3、T3a 和 Z1d 实例可提供最高的 EBS 优化性能。要从 2020 年 2 月 26 日之前启动的实例中获得最高性能，请停止该实例，然后重新启动。
+ 2019 年 12 月 3 日之后启动的 C5、C5d、C5n、M5、M5d、M5n、M5dn、R5、R5d、R5n、R5dn 和 P3dn 实例可提供最高的 EBS 优化性能。要从 2019 年 12 月 3 日之前启动的实例中获得最高性能，请停止该实例，然后重新启动。
+ 2020 年 3 月 12 日之后启动的 `u-6tb1.metal`、`u-9tb1.metal` 和 `u-12tb1.metal` 实例可提供最高的 EBS 优化性能。2020 年 3 月 12 日之前启动的这些类型的实例可能会提供较低的性能。要从 2020 年 3 月 12 日之前启动的实例中获得最高性能，请与客户团队联系以免费升级实例。

# 查找 EBS 优化的 EC2 实例类型
<a name="describe-ebs-optimization"></a>

您可以查看每个区域中支持 EBS 优化的实例类型。

------
#### [ Console ]

**查找默认进行 EBS 优化的实例类型**

1. 通过以下网址打开 Amazon EC2 控制台：[https://console.aws.amazon.com/ec2/](https://console.aws.amazon.com/ec2/)。

1. 在导航窗格中，选择 **Instance Types (实例类型)**。

1. 添加筛选条件 **EBS 优化支持 = default**。

1. （可选）点击**首选项**图标，然后打开相关列，例如 **EBS 最大 IOPS** 和 **EBS 基准 IOPS**。

1. （可选）添加筛选条件以进一步筛选相关的特定实例类型。

------
#### [ AWS CLI ]

**查找默认进行 EBS 优化的实例类型**  
使用以下 [describe-instance-types](https://docs.aws.amazon.com/cli/latest/reference/ec2/describe-instance-types.html) 命令。

```
aws ec2 describe-instance-types \
--filters Name=ebs-info.ebs-optimized-support,Values=default  \
--query 'InstanceTypes[].{InstanceType:InstanceType, "MaxBandwidth(Mb/s)":EbsInfo.EbsOptimizedInfo.MaximumBandwidthInMbps, MaxIOPS:EbsInfo.EbsOptimizedInfo.MaximumIops, "MaxThroughput(MB/s)":EbsInfo.EbsOptimizedInfo.MaximumThroughputInMBps}' \
--output=table
```

**查找可选支持 EBS 优化的实例类型**  
使用以下 [describe-instance-types](https://docs.aws.amazon.com/cli/latest/reference/ec2/describe-instance-types.html) 命令。

```
aws ec2 describe-instance-types \
--filters Name=ebs-info.ebs-optimized-support,Values=supported \
--query 'InstanceTypes[].{InstanceType:InstanceType, "MaxBandwidth(Mb/s)":EbsInfo.EbsOptimizedInfo.MaximumBandwidthInMbps, MaxIOPS:EbsInfo.EbsOptimizedInfo.MaximumIops, "MaxThroughput(MB/s)":EbsInfo.EbsOptimizedInfo.MaximumThroughputInMBps}' \
--output=table
```

下面是 `eu-west-1` 的示例输出。

```
--------------------------------------------------------------------------
|                         DescribeInstanceTypes                          |
+--------------+----------------------+----------+-----------------------+
| InstanceType | MaxBandwidth(Mb/s)   | MaxIOPS  |  MaxThroughput(MB/s)  |
+--------------+----------------------+----------+-----------------------+
|  i2.2xlarge  |  1000                |  8000    |  125.0                |
|  m2.4xlarge  |  1000                |  8000    |  125.0                |
|  m2.2xlarge  |  500                 |  4000    |  62.5                 |
|  c1.xlarge   |  1000                |  8000    |  125.0                |
|  i2.xlarge   |  500                 |  4000    |  62.5                 |
|  m3.xlarge   |  500                 |  4000    |  62.5                 |
|  m1.xlarge   |  1000                |  8000    |  125.0                |
|  r3.4xlarge  |  2000                |  16000   |  250.0                |
|  r3.2xlarge  |  1000                |  8000    |  125.0                |
|  c3.xlarge   |  500                 |  4000    |  62.5                 |
|  m3.2xlarge  |  1000                |  8000    |  125.0                |
|  r3.xlarge   |  500                 |  4000    |  62.5                 |
|  i2.4xlarge  |  2000                |  16000   |  250.0                |
|  c3.4xlarge  |  2000                |  16000   |  250.0                |
|  c3.2xlarge  |  1000                |  8000    |  125.0                |
|  m1.large    |  500                 |  4000    |  62.5                 |
+--------------+----------------------+----------+-----------------------+
```

------
#### [ PowerShell ]

**查找默认进行 EBS 优化的实例类型**  
使用 [Get-EC2InstanceType](https://docs.aws.amazon.com/powershell/latest/reference/items/Get-EC2InstanceType.html) cmdlet。

```
Get-EC2InstanceType `
    -Filter @{Name="ebs-info.ebs-optimized-support"; Values="default"} | `
    Select InstanceType, `
        @{Name="MaxBandwidth(Mb/s)"; Expression={($_.EbsInfo.EbsOptimizedInfo.MaximumBandwidthInMbps)}}, `
        @{Name="MaxIOPS"; Expression={($_.EbsInfo.EbsOptimizedInfo.MaximumIops)}}, `
        @{Name="MaxThroughput (MB/s)"; Expression={($_.EbsInfo.EbsOptimizedInfo.MaximumThroughputInMBps)}}
```

**查找可选支持 EBS 优化的实例类型**  
使用 [Get-EC2InstanceType](https://docs.aws.amazon.com/powershell/latest/reference/items/Get-EC2InstanceType.html) cmdlet。

```
Get-EC2InstanceType `
    -Filter @{Name="ebs-info.ebs-optimized-support"; Values="supported"} | `
    Select InstanceType, `
        @{Name="MaxBandwidth(Mb/s)"; Expression={($_.EbsInfo.EbsOptimizedInfo.MaximumBandwidthInMbps)}}, `
        @{Name="MaxIOPS"; Expression={($_.EbsInfo.EbsOptimizedInfo.MaximumIops)}}, `
        @{Name="MaxThroughput (MB/s)"; Expression={($_.EbsInfo.EbsOptimizedInfo.MaximumThroughputInMBps)}}
```

下面是 `eu-west-1` 的示例输出。

```
InstanceType MaxBandwidth(Mb/s) MaxIOPS MaxThroughput (MB/s)
------------ ------------------ ------- --------------------
m2.4xlarge                 1000    8000              125.000
i2.2xlarge                 1000    8000              125.000
c1.xlarge                  1000    8000              125.000
m2.2xlarge                  500    4000               62.500
r3.2xlarge                 1000    8000              125.000
m3.xlarge                   500    4000               62.500
r3.4xlarge                 2000   16000              250.000
m1.xlarge                  1000    8000              125.000
i2.xlarge                   500    4000               62.500
c3.xlarge                   500    4000               62.500
c3.4xlarge                 2000   16000              250.000
c3.2xlarge                 1000    8000              125.000
i2.4xlarge                 2000   16000              250.000
r3.xlarge                   500    4000               62.500
m3.2xlarge                 1000    8000              125.000
m1.large                    500    4000               62.500
```

------

# 为 Amazon EC2 实例启用 EBS 优化
<a name="modify-ebs-optimized-attribute"></a>

对于可选支持 EBS 优化的上一代实例类型，您只能手动启用 EBS 优化。如果您为这些实例类型启用了 EBS 优化，则需要[按小时费率额外付费](https://aws.amazon.com/ec2/previous-generation/#EBS-optimized_instances)

**先决条件**
+ 确认该实例类型需要启用 EBS 优化。有关更多信息，请参阅 [支持的 EBS 优化](ebs-optimized.md#previous)。
+ 要在启动后启用 EBS 优化，则必须首先停止实例。
**警告**  
停止某个实例时，实例存储卷上的数据将会丢失。要保留这些数据，请将其备份到持久性存储中。

------
#### [ Console ]

**要在启动期间启用 Amazon EBS 优化**  
在启动实例向导中，选择所需的实例类型。展开**高级详细信息**部分，然后对于 **EBS 优化的实例**，选择**启用**。

如果所选实例类型不支持 Amazon EBS 优化，则下拉列表将被禁用。如果实例类型默认为 Amazon EBS 优化，则已选择启用。

**要在启动之后启用 Amazon EBS 优化**

1. 通过以下网址打开 Amazon EC2 控制台：[https://console.aws.amazon.com/ec2/](https://console.aws.amazon.com/ec2/)。

1. 在导航窗格中，选择 **Instances**，然后选择实例。

1. 停止实例。依次选择**操作**、**实例状态**、**停止实例**。

1. 在实例处于选中状态时，依次选择**操作**、**实例设置**、**更改实例类型**。

1. 选择 **EBS 优化**，然后选择**应用**。

   如果实例类型默认为 Amazon EBS 优化，或者不支持 Amazon EBS 优化，则该复选框将被禁用。

1. 重新启动实例。依次选择**实例状态**、**启动实例**。

------
#### [ AWS CLI ]

**要在启动期间启用 Amazon EBS 优化**  
使用 [run-instances](https://docs.aws.amazon.com/cli/latest/reference/ec2/run-instances.html) 命令和 `--ebs-optimized` 选项。

**要在启动之后启用 Amazon EBS 优化**

1. 如果实例正在运行，请使用 [stop-instances](https://docs.aws.amazon.com/cli/latest/reference/ec2/stop-instances.html) 命令将其停止。

   ```
   aws ec2 stop-instances --instance-ids i-1234567890abcdef0
   ```

1. 使用 [modify-instance-attribute](https://docs.aws.amazon.com/cli/latest/reference/ec2/modify-instance-attribute.html) 命令和 `--ebs-optimized` 选项来启用 EBS 优化。

   ```
   aws ec2 modify-instance-attribute \
       --instance-id i-1234567890abcdef0 \
       --ebs-optimized
   ```

------
#### [ PowerShell ]

**要在启动期间启用 Amazon EBS 优化**  
使用 [New-EC2Instance](https://docs.aws.amazon.com/powershell/latest/reference/items/New-EC2Instance.html) cmdlet 和 `-EbsOptimized` 选项。

**要在启动之后启用 Amazon EBS 优化**

1. 如果实例正在运行，请使用 [Stop-EC2Instance](https://docs.aws.amazon.com/powershell/latest/reference/items/Stop-EC2Instance.html) cmdlet 将其停止。

   ```
   Stop-EC2Instance -InstanceId i-1234567890abcdef0
   ```

1. 使用 [Edit-EC2InstanceAttribute](https://docs.aws.amazon.com/powershell/latest/reference/items/Edit-EC2InstanceAttribute.html) cmdlet 和 `-EbsOptimized` 选项启用 EBS 优化。

   ```
   Edit-EC2InstanceAttribute `
       -InstanceId i-1234567890abcdef0 `
       -EbsOptimized $true
   ```

------