m8g.2xlarge vs x2iedn.2xlarge
| m8g.2xlarge | x2iedn.2xlarge |
| General purpose | Memory optimized |
| Small to medium size databases, data processing, caching, backends. m – Multi purpose 8 – Generation g – AWS Graviton processor 2xlarge – Size | In-memory databases (like SAP HANA), big data engines (such as Apache Spark, Presto), high-performance computing (HPC), and memory-heavy enterprise apps. x – Extreme RAM / memory intensive 2 – Generation i – Intel processor e – Extra storage or memory d – Instance store volume n – Network and EBS optimized 2xlarge – Size |
| 8 | 8 |
| 32 GiB | 256 GiB |
| arm64 | x86_64 |
| AWS Graviton4 Processor | Intel Xeon Scalable (Icelake) |
| 2.8 GHz | 3.5 GHz |
| 1 | 2 |
| no | no |
| no | no |
| no | no |
| m8g.12xlarge, m8g.16xlarge, m8g.24xlarge, m8g.2xlarge, m8g.48xlarge, m8g.4xlarge, m8g.8xlarge, m8g.large, m8g.medium, m8g.metal-24xl, m8g.metal-48xl, m8g.xlarge | x2iedn.16xlarge, x2iedn.24xlarge, x2iedn.2xlarge, x2iedn.32xlarge, x2iedn.4xlarge, x2iedn.8xlarge, x2iedn.metal, x2iedn.xlarge |
| m6g.2xlarge, m7g.2xlarge, m8g.2xlarge | |
| m8a.2xlarge, m8gb.2xlarge, m8gd.2xlarge, m8gn.2xlarge, m8i-flex.2xlarge, m8i.2xlarge, m8ib.2xlarge, m8id.2xlarge, m8idb.2xlarge, m8idn.2xlarge, m8in.2xlarge, m8ine.2xlarge | x2gd.2xlarge, x2iezn.2xlarge |
| db.m8g.2xlarge | db.x2iedn.2xlarge |
| m8g.2xlarge.search | |
| no | no |
| no | no |
| yes | no |
| EBS only | 1 x 237 NVMe SSD |
| default | default |
| supported | supported |
| required | required |
| up to 10240 MBps | up to 20000 MBps |
| 2500 Mbps | 5000 Mbps |
| 312.5 Mbps | 625 Mbps |
| 12000 IOPS | 16250 IOPS |
| 40000 IOPS | 65000 IOPS |
| 10000 Mbps | 20000 Mbps |
| 1250 Mbps | 2500 Mbps |
| Up to 15 Gigabit | Up to 25 Gigabit |
| yes | yes |
| 4 | 4 |
| 1 | 1 |
| 15 | 15 |
| 15 | 15 |
| yes | yes |
| required | required |
| no | no |
| yes | yes |
| no | no |
| 1.00x | 5.11x |
Regional Prices
Geography | Region | m8g.2xlarge | x2iedn.2xlarge |
|---|---|---|---|
| Asia Pacific | Asia Pacific (Hyderabad) (ap-south-2) | 0.2566 | n/a |
| Asia Pacific | Asia Pacific (Mumbai) (ap-south-1) | 0.2566 | n/a |
| Hidden | Hidden (hidden-1) | 0.3590 | 1.7203 |
| Hidden | Hidden (hidden-10) | 0.4152 | 2.1008 |
| Hidden | Hidden (hidden-11) | 0.4189 | 2.1008 |
| Hidden | Hidden (hidden-12) | 0.4189 | 2.1675 |
| Hidden | Hidden (hidden-13) | 0.4189 | 2.1759 |
| Hidden | Hidden (hidden-14) | 0.4302 | 2.1759 |
| Hidden | Hidden (hidden-15) | 0.4402 | 2.3343 |
| Hidden | Hidden (hidden-16) | 0.4414 | 2.3810 |
| Hidden | Hidden (hidden-17) | 0.4488 | 2.4176 |
| Hidden | Hidden (hidden-18) | 0.4488 | 2.4176 |
| Hidden | Hidden (hidden-19) | 0.4488 | 2.4176 |
| Hidden | Hidden (hidden-2) | 0.3590 | 1.7203 |
| Hidden | Hidden (hidden-20) | 0.4488 | 2.4176 |
| Hidden | Hidden (hidden-21) | 0.4523 | 2.4176 |
| Hidden | Hidden (hidden-22) | 0.4525 | 2.4178 |
| Hidden | Hidden (hidden-23) | 0.4638 | 2.5677 |
| Hidden | Hidden (hidden-24) | 0.4638 | 3.2513 |
| Hidden | Hidden (hidden-25) | 0.4731 | n/a |
| Hidden | Hidden (hidden-26) | 0.4750 | n/a |
| Hidden | Hidden (hidden-27) | 0.4937 | n/a |
| Hidden | Hidden (hidden-28) | 0.4937 | n/a |
| Hidden | Hidden (hidden-29) | 0.5722 | n/a |
| Hidden | Hidden (hidden-3) | 0.3815 | 1.8340 |
| Hidden | Hidden (hidden-4) | 0.3815 | 1.9014 |
| Hidden | Hidden (hidden-5) | 0.3815 | 2.0008 |
| Hidden | Hidden (hidden-6) | 0.3999 | 2.0008 |
| Hidden | Hidden (hidden-7) | 0.4002 | 2.0008 |
| Hidden | Hidden (hidden-8) | 0.4002 | 2.0008 |
| Hidden | Hidden (hidden-9) | 0.4002 | 2.1001 |
| US | US East (Ohio) (us-east-2) | n/a | 1.6673 |
| US | US East (Virginia) (us-east-1) | 0.3590 | 1.6673 |
| US | US West (Oregon) (us-west-2) | n/a | 1.6673 |