m8a.4xlarge vs r7gd.4xlarge
| m8a.4xlarge | r7gd.4xlarge |
| General purpose | Memory optimized |
| Small to medium size databases, data processing, caching, backends. m – Multi purpose 8 – Generation a – AMD processor 4xlarge – Size | High-performance databases, data mining/analysis, in-memory databases, distributed large-scale caches, real-time processing apps for unstructured big data, Hadoop/Spark clusters, and other enterprise apps. r – RAM / memory optimized 7 – Generation g – AWS Graviton processor d – Instance store volume 4xlarge – Size |
| 16 | 16 |
| 64 GiB | 128 GiB |
| x86_64 | arm64 |
| AMD EPYC 9R45 Processor | AWS Graviton3 Processor |
| 4.5 GHz | 2.6 GHz |
| 1 | 1 |
| no | no |
| no | no |
| no | no |
| m8a.12xlarge, m8a.16xlarge, m8a.24xlarge, m8a.2xlarge, m8a.48xlarge, m8a.4xlarge, m8a.8xlarge, m8a.large, m8a.medium, m8a.metal-24xl, m8a.metal-48xl, m8a.xlarge | r7gd.12xlarge, r7gd.16xlarge, r7gd.2xlarge, r7gd.4xlarge, r7gd.8xlarge, r7gd.large, r7gd.medium, r7gd.metal, r7gd.xlarge |
| m5a.4xlarge, m6a.4xlarge, m7a.4xlarge, m8a.4xlarge | r6gd.4xlarge, r7gd.4xlarge, r8gd.4xlarge |
| m8g.4xlarge, m8gb.4xlarge, m8gd.4xlarge, m8gn.4xlarge, m8i-flex.4xlarge, m8i.4xlarge, m8ib.4xlarge, m8id.4xlarge, m8idb.4xlarge, m8idn.4xlarge, m8in.4xlarge, m8ine.4xlarge | r7a.4xlarge, r7g.4xlarge, r7i.4xlarge, r7iz.4xlarge |
| ml.r7gd.4xlarge | |
| db.m8a.4xlarge | |
| r7gd.4xlarge.search | |
| no | no |
| no | no |
| yes | yes |
| EBS only | 1 x 950 NVMe SSD |
| default | default |
| supported | supported |
| required | required |
| up to 10000 MBps | up to 10000 MBps |
| 5000 Mbps | 5000 Mbps |
| 625 Mbps | 625 Mbps |
| 20000 IOPS | 20000 IOPS |
| 40000 IOPS | 40000 IOPS |
| 10000 Mbps | 10000 Mbps |
| 1250 Mbps | 1250 Mbps |
| Up to 15000 Megabit | Up to 15 Gigabit |
| yes | yes |
| 8 | 8 |
| 1 | 1 |
| 40 | 30 |
| 40 | 30 |
| yes | yes |
| required | required |
| no | no |
| yes | yes |
| no | no |
| 1.00x | 1.12x |
Regional Prices
Geography | Region | m8a.4xlarge | r7gd.4xlarge |
|---|---|---|---|
| Asia Pacific | Asia Pacific (Hyderabad) (ap-south-2) | n/a | 0.7040 |
| Asia Pacific | Asia Pacific (Mumbai) (ap-south-1) | n/a | 0.7040 |
| Hidden | Hidden (hidden-1) | 1.0853 | 1.0886 |
| Hidden | Hidden (hidden-10) | n/a | 1.2247 |
| Hidden | Hidden (hidden-11) | n/a | 1.2528 |
| Hidden | Hidden (hidden-12) | n/a | 1.2701 |
| Hidden | Hidden (hidden-13) | n/a | 1.2701 |
| Hidden | Hidden (hidden-14) | n/a | 1.2776 |
| Hidden | Hidden (hidden-15) | n/a | 1.2781 |
| Hidden | Hidden (hidden-16) | n/a | 1.3078 |
| Hidden | Hidden (hidden-17) | n/a | 1.3079 |
| Hidden | Hidden (hidden-18) | n/a | 1.3083 |
| Hidden | Hidden (hidden-19) | n/a | 1.3083 |
| Hidden | Hidden (hidden-2) | 1.0853 | 1.0886 |
| Hidden | Hidden (hidden-20) | n/a | 1.3154 |
| Hidden | Hidden (hidden-21) | n/a | 1.3154 |
| Hidden | Hidden (hidden-22) | n/a | 1.3154 |
| Hidden | Hidden (hidden-23) | n/a | 1.3154 |
| Hidden | Hidden (hidden-24) | n/a | 1.3154 |
| Hidden | Hidden (hidden-25) | n/a | 1.3230 |
| Hidden | Hidden (hidden-26) | n/a | 1.3306 |
| Hidden | Hidden (hidden-27) | n/a | 1.4364 |
| Hidden | Hidden (hidden-28) | n/a | 1.7237 |
| Hidden | Hidden (hidden-3) | 1.1664 | 1.1181 |
| Hidden | Hidden (hidden-4) | 1.2273 | 1.1181 |
| Hidden | Hidden (hidden-5) | 1.2578 | 1.1430 |
| Hidden | Hidden (hidden-6) | n/a | 1.1491 |
| Hidden | Hidden (hidden-7) | n/a | 1.1838 |
| Hidden | Hidden (hidden-8) | n/a | 1.2096 |
| Hidden | Hidden (hidden-9) | n/a | 1.2096 |
| US | US East (Ohio) (us-east-2) | 0.9738 | n/a |
| US | US East (Virginia) (us-east-1) | 0.9738 | 1.0886 |
| US | US West (Oregon) (us-west-2) | 0.9738 | n/a |