m6gd.4xlarge vs c8in.4xlarge
| m6gd.4xlarge | c8in.4xlarge |
| General purpose | Compute optimized |
| Small to medium size databases, data processing, caching, backends. m – Multi purpose 6 – Generation g – AWS Graviton processor d – Instance store volume 4xlarge – Size | 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 8 – Generation i – Intel processor n – Network and EBS optimized 4xlarge – Size |
| 16 | 16 |
| 64 GiB | 32 GiB |
| arm64 | x86_64 |
| AWS Graviton2 Processor | Intel Xeon Scalable (Granite Rapids) |
| 2.5 GHz | 3.9 GHz |
| 1 | 2 |
| no | no |
| no | no |
| no | no |
| m6gd.12xlarge, m6gd.16xlarge, m6gd.2xlarge, m6gd.4xlarge, m6gd.8xlarge, m6gd.large, m6gd.medium, m6gd.metal, m6gd.xlarge | c8in.12xlarge, c8in.16xlarge, c8in.24xlarge, c8in.2xlarge, c8in.32xlarge, c8in.48xlarge, c8in.4xlarge, c8in.8xlarge, c8in.96xlarge, c8in.large, c8in.metal-48xl, c8in.metal-96xl, c8in.xlarge |
| m6gd.4xlarge, m7gd.4xlarge, m8gd.4xlarge | c6in.4xlarge, c8in.4xlarge |
| m6a.4xlarge, m6g.4xlarge, m6i.4xlarge, m6id.4xlarge, m6idn.4xlarge, m6in.4xlarge | c8a.4xlarge, c8g.4xlarge, c8gb.4xlarge, c8gd.4xlarge, c8gn.4xlarge, c8i-flex.4xlarge, c8i.4xlarge, c8ib.4xlarge, c8id.4xlarge, c8ine.4xlarge |
| ml.m6gd.4xlarge | |
| db.m6gd.4xlarge | |
| no | no |
| no | no |
| yes | no |
| 1 x 950 NVMe SSD | EBS only |
| default | default |
| supported | supported |
| required | required |
| 4500 MBps | up to 10000 MBps |
| 4750 Mbps | 5000 Mbps |
| 593.75 Mbps | 625 Mbps |
| 20000 IOPS | 20000 IOPS |
| 20000 IOPS | 40000 IOPS |
| 4750 Mbps | 10000 Mbps |
| 593.75 Mbps | 1250 Mbps |
| Up to 10 Gigabit | Up to 50 Gigabit |
| yes | yes |
| 8 | 8 |
| 1 | 1 |
| 30 | 50 |
| 30 | 50 |
| yes | yes |
| required | required |
| no | no |
| no | yes |
| no | no |
| 1.00x | 1.42x |
Regional Prices
Geography | Region | m6gd.4xlarge | c8in.4xlarge |
|---|---|---|---|
| Asia Pacific | Asia Pacific (Hyderabad) (ap-south-2) | 0.4832 | n/a |
| Asia Pacific | Asia Pacific (Mumbai) (ap-south-1) | 0.4832 | n/a |
| Europe | Europe (Spain) (eu-south-2) | n/a | 1.2288 |
| Hidden | Hidden (hidden-1) | 0.7232 | 1.3709 |
| Hidden | Hidden (hidden-10) | 0.8064 | n/a |
| Hidden | Hidden (hidden-11) | 0.8384 | n/a |
| Hidden | Hidden (hidden-12) | 0.8424 | n/a |
| Hidden | Hidden (hidden-13) | 0.8448 | n/a |
| Hidden | Hidden (hidden-14) | 0.8448 | n/a |
| Hidden | Hidden (hidden-15) | 0.8467 | n/a |
| Hidden | Hidden (hidden-16) | 0.8480 | n/a |
| Hidden | Hidden (hidden-17) | 0.8720 | n/a |
| Hidden | Hidden (hidden-18) | 0.8864 | n/a |
| Hidden | Hidden (hidden-19) | 0.8870 | n/a |
| Hidden | Hidden (hidden-2) | 0.7232 | n/a |
| Hidden | Hidden (hidden-20) | 0.8896 | n/a |
| Hidden | Hidden (hidden-21) | 0.9040 | n/a |
| Hidden | Hidden (hidden-22) | 0.9040 | n/a |
| Hidden | Hidden (hidden-23) | 0.9120 | n/a |
| Hidden | Hidden (hidden-24) | 0.9120 | n/a |
| Hidden | Hidden (hidden-25) | 0.9152 | n/a |
| Hidden | Hidden (hidden-26) | 0.9152 | n/a |
| Hidden | Hidden (hidden-27) | 0.9344 | n/a |
| Hidden | Hidden (hidden-28) | 0.9360 | n/a |
| Hidden | Hidden (hidden-29) | 0.9576 | n/a |
| Hidden | Hidden (hidden-3) | 0.7594 | n/a |
| Hidden | Hidden (hidden-30) | 0.9592 | n/a |
| Hidden | Hidden (hidden-31) | 0.9600 | n/a |
| Hidden | Hidden (hidden-32) | 0.9920 | n/a |
| Hidden | Hidden (hidden-33) | 1.1520 | n/a |
| Hidden | Hidden (hidden-4) | 0.7680 | n/a |
| Hidden | Hidden (hidden-5) | 0.7683 | n/a |
| Hidden | Hidden (hidden-6) | 0.7683 | n/a |
| Hidden | Hidden (hidden-7) | 0.8064 | n/a |
| Hidden | Hidden (hidden-8) | 0.8064 | n/a |
| Hidden | Hidden (hidden-9) | 0.8064 | n/a |
| US | US East (Virginia) (us-east-1) | 0.7232 | 1.0886 |
| US | US West (Oregon) (us-west-2) | n/a | 1.0886 |