m8g.2xlarge vs g6.2xlarge
| m8g.2xlarge | g6.2xlarge |
| General purpose | GPU instance |
| Small to medium size databases, data processing, caching, backends. m – Multi purpose 8 – Generation g – AWS Graviton processor 2xlarge – Size | Machine Learning (ML), 3D visualizations, graphics-heavy remote workstations, 3D rendering, application streaming, video encoding, and server-side graphics tasks. g – GPU (Graphics Processing Unit) 6 – Generation 2xlarge – Size |
| 8 | 8 |
| 32 GiB | 32 GiB |
| arm64 | x86_64 |
| AWS Graviton4 Processor | AMD EPYC 7R13 Processor |
| 2.8 GHz | 3.4 GHz |
| 1 | 2 |
| no | yes |
| L4 | |
| NVIDIA | |
| 1 | |
| 22.35 GiB | |
| 22.35 GiB | |
| no | no |
| 24 GiB | |
| 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 | g6.12xlarge, g6.16xlarge, g6.24xlarge, g6.2xlarge, g6.48xlarge, g6.4xlarge, g6.8xlarge, g6.xlarge |
| m6g.2xlarge, m7g.2xlarge, m8g.2xlarge, m9g.2xlarge | g2.2xlarge, g5.2xlarge, g6.2xlarge, g7.2xlarge |
| 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 | g6e.2xlarge, g6f.2xlarge |
| ml.m8g.2xlarge | ml.g6.2xlarge |
| db.m8g.2xlarge | |
| m8g.2xlarge.search | |
| cache.m8g.2xlarge | |
| no | no |
| no | no |
| yes | no |
| EBS only | 1 x 450 GB NVMe SSD |
| default | default |
| supported | supported |
| required | required |
| up to 10240 MBps | up to 5000 MBps |
| 2500 Mbps | 2000 Mbps |
| 312.5 Mbps | 250 Mbps |
| 12000 IOPS | 8000 IOPS |
| 40000 IOPS | 20000 IOPS |
| 10000 Mbps | 5000 Mbps |
| 1250 Mbps | 625 Mbps |
| Up to 15 Gigabit | Up to 10 Gigabit |
| yes | yes |
| 4 | 4 |
| 1 | 1 |
| 15 | 15 |
| 15 | 15 |
| yes | yes |
| required | required |
| no | no |
| yes | yes |
| no | no |
| 1.00x | 2.85x |
Regional Prices
Geography | Region | m8g.2xlarge | g6.2xlarge |
|---|---|---|---|
| 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 | 1.0301 |
| Hidden | Hidden (hidden-10) | 0.4002 | 1.2322 |
| Hidden | Hidden (hidden-11) | 0.4152 | 1.2322 |
| Hidden | Hidden (hidden-12) | 0.4174 | 1.2410 |
| Hidden | Hidden (hidden-13) | 0.4189 | 1.2410 |
| Hidden | Hidden (hidden-14) | 0.4189 | 1.2711 |
| Hidden | Hidden (hidden-15) | 0.4189 | 1.3180 |
| Hidden | Hidden (hidden-16) | 0.4302 | 1.4178 |
| Hidden | Hidden (hidden-17) | 0.4402 | 1.6617 |
| Hidden | Hidden (hidden-18) | 0.4414 | n/a |
| Hidden | Hidden (hidden-19) | 0.4488 | n/a |
| Hidden | Hidden (hidden-2) | 0.3590 | 1.0369 |
| Hidden | Hidden (hidden-20) | 0.4488 | n/a |
| Hidden | Hidden (hidden-21) | 0.4488 | n/a |
| Hidden | Hidden (hidden-22) | 0.4488 | n/a |
| Hidden | Hidden (hidden-23) | 0.4523 | n/a |
| Hidden | Hidden (hidden-24) | 0.4525 | n/a |
| Hidden | Hidden (hidden-25) | 0.4638 | n/a |
| Hidden | Hidden (hidden-26) | 0.4638 | n/a |
| Hidden | Hidden (hidden-27) | 0.4731 | n/a |
| Hidden | Hidden (hidden-28) | 0.4750 | n/a |
| Hidden | Hidden (hidden-29) | 0.4937 | n/a |
| Hidden | Hidden (hidden-3) | 0.3770 | 1.0855 |
| Hidden | Hidden (hidden-30) | 0.4937 | n/a |
| Hidden | Hidden (hidden-31) | 0.5722 | n/a |
| Hidden | Hidden (hidden-4) | 0.3815 | 1.1739 |
| Hidden | Hidden (hidden-5) | 0.3815 | 1.1739 |
| Hidden | Hidden (hidden-6) | 0.3815 | 1.2004 |
| Hidden | Hidden (hidden-7) | 0.3999 | 1.2021 |
| Hidden | Hidden (hidden-8) | 0.4002 | 1.2225 |
| Hidden | Hidden (hidden-9) | 0.4002 | 1.2315 |
| US | US East (Ohio) (us-east-2) | n/a | 0.9776 |
| US | US East (Virginia) (us-east-1) | 0.3590 | 0.9776 |
| US | US West (Oregon) (us-west-2) | n/a | 0.9776 |