c5.2xlarge vs m8gd.2xlarge
| c5.2xlarge | m8gd.2xlarge |
| Compute optimized | General purpose |
| High-performance web servers, scientific modeling, batch processing, distributed analytics, HPC, machine/deep learning inference, ad serving, scalable multiplayer gaming, and video encoding. c – Compute optimized 5 – Generation 2xlarge – Size | Small to medium size databases, data processing, caching, backends. m – Multi purpose 8 – Generation g – AWS Graviton processor d – Instance store volume 2xlarge – Size |
| 8 | 8 |
| 16 GiB | 32 GiB |
| x86_64 | arm64 |
| Intel Xeon Platinum 8124M | AWS Graviton4 Processor |
| 3.4 GHz | 2.8 GHz |
| 2 | 1 |
| no | no |
| no | no |
| no | no |
| c5.12xlarge, c5.18xlarge, c5.24xlarge, c5.2xlarge, c5.4xlarge, c5.9xlarge, c5.large, c5.metal, c5.xlarge | m8gd.12xlarge, m8gd.16xlarge, m8gd.24xlarge, m8gd.2xlarge, m8gd.48xlarge, m8gd.4xlarge, m8gd.8xlarge, m8gd.large, m8gd.medium, m8gd.metal-24xl, m8gd.metal-48xl, m8gd.xlarge |
| c3.2xlarge, c4.2xlarge, c5.2xlarge, c6i.2xlarge, c7i.2xlarge, c8i.2xlarge | m6gd.2xlarge, m7gd.2xlarge, m8gd.2xlarge |
| c5a.2xlarge, c5ad.2xlarge, c5d.2xlarge, c5n.2xlarge | m8a.2xlarge, m8g.2xlarge, m8gb.2xlarge, m8gn.2xlarge, m8i-flex.2xlarge, m8i.2xlarge, m8ib.2xlarge, m8id.2xlarge, m8idb.2xlarge, m8idn.2xlarge, m8in.2xlarge, m8ine.2xlarge |
| ml.c5.2xlarge | |
| db.m8gd.2xlarge | |
| c5.2xlarge.search | |
| no | no |
| no | no |
| yes | yes |
| 39 | |
| EBS only | 1 x 475 NVMe SSD |
| default | default |
| supported | supported |
| required | required |
| up to 2250 MBps | up to 10240 MBps |
| 2300 Mbps | 2500 Mbps |
| 287.5 Mbps | 312.5 Mbps |
| 10000 IOPS | 12000 IOPS |
| 20000 IOPS | 40000 IOPS |
| 4750 Mbps | 10000 Mbps |
| 593.75 Mbps | 1250 Mbps |
| Up to 10 Gigabit | Up to 15 Gigabit |
| yes | yes |
| 4 | 4 |
| 1 | 1 |
| 15 | 15 |
| 15 | 15 |
| yes | yes |
| required | required |
| no | no |
| no | yes |
| no | no |
| 1.00x | 1.34x |
Regional Prices
Geography | Region | c5.2xlarge | m8gd.2xlarge |
|---|---|---|---|
| Asia Pacific | Asia Pacific (Hyderabad) (ap-south-2) | 0.3400 | n/a |
| Asia Pacific | Asia Pacific (Mumbai) (ap-south-1) | 0.3400 | n/a |
| Hidden | Hidden (hidden-1) | 0.3400 | 0.4893 |
| Hidden | Hidden (hidden-10) | 0.3920 | n/a |
| Hidden | Hidden (hidden-11) | 0.3920 | n/a |
| Hidden | Hidden (hidden-12) | 0.4030 | n/a |
| Hidden | Hidden (hidden-13) | 0.4040 | n/a |
| Hidden | Hidden (hidden-14) | 0.4040 | n/a |
| Hidden | Hidden (hidden-15) | 0.4040 | n/a |
| Hidden | Hidden (hidden-16) | 0.4080 | n/a |
| Hidden | Hidden (hidden-17) | 0.4080 | n/a |
| Hidden | Hidden (hidden-18) | 0.4220 | n/a |
| Hidden | Hidden (hidden-19) | 0.4220 | n/a |
| Hidden | Hidden (hidden-2) | 0.3400 | 0.5144 |
| Hidden | Hidden (hidden-20) | 0.4240 | n/a |
| Hidden | Hidden (hidden-21) | 0.4270 | n/a |
| Hidden | Hidden (hidden-22) | 0.4280 | n/a |
| Hidden | Hidden (hidden-23) | 0.4280 | n/a |
| Hidden | Hidden (hidden-24) | 0.4320 | n/a |
| Hidden | Hidden (hidden-25) | 0.4440 | n/a |
| Hidden | Hidden (hidden-26) | 0.4440 | n/a |
| Hidden | Hidden (hidden-27) | 0.4560 | n/a |
| Hidden | Hidden (hidden-28) | 0.5240 | n/a |
| Hidden | Hidden (hidden-3) | 0.3640 | 0.5144 |
| Hidden | Hidden (hidden-4) | 0.3720 | 0.5144 |
| Hidden | Hidden (hidden-5) | 0.3720 | 0.5348 |
| Hidden | Hidden (hidden-6) | 0.3840 | 0.5552 |
| Hidden | Hidden (hidden-7) | 0.3840 | 0.5797 |
| Hidden | Hidden (hidden-8) | 0.3840 | 0.5960 |
| Hidden | Hidden (hidden-9) | 0.3880 | 0.7348 |
| US | US East (Ohio) (us-east-2) | n/a | 0.4613 |
| US | US East (Virginia) (us-east-1) | 0.3400 | 0.4613 |
| US | US West (Oregon) (us-west-2) | n/a | 0.4613 |