r7g.4xlarge vs g6e.4xlarge
| r7g.4xlarge | g6e.4xlarge |
| Memory optimized | GPU instance |
| 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 4xlarge – 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 e – Extra storage or memory 4xlarge – Size |
| 16 | 16 |
| 128 GiB | 128 GiB |
| arm64 | x86_64 |
| AWS Graviton3 Processor | AMD EPYC 7R13 Processor |
| 2.6 GHz | 3.4 GHz |
| 1 | 2 |
| no | yes |
| L40S | |
| NVIDIA | |
| 1 | |
| 44.7 GiB | |
| 44.7 GiB | |
| no | no |
| 48 GiB | |
| no | no |
| r7g.12xlarge, r7g.16xlarge, r7g.2xlarge, r7g.4xlarge, r7g.8xlarge, r7g.large, r7g.medium, r7g.metal, r7g.xlarge | g6e.12xlarge, g6e.16xlarge, g6e.24xlarge, g6e.2xlarge, g6e.48xlarge, g6e.4xlarge, g6e.8xlarge, g6e.xlarge |
| r6g.4xlarge, r7g.4xlarge, r8g.4xlarge | g6e.4xlarge, g7e.4xlarge |
| r7a.4xlarge, r7gd.4xlarge, r7i.4xlarge, r7iz.4xlarge | g6.4xlarge, g6f.4xlarge |
| ml.r7g.4xlarge | ml.g6e.4xlarge |
| db.r7g.4xlarge | |
| r7g.4xlarge.search | |
| cache.r7g.4xlarge | |
| no | no |
| no | no |
| yes | no |
| EBS only | 1 x 600 GB NVMe SSD |
| default | default |
| supported | supported |
| required | required |
| up to 10000 MBps | 8000 MBps |
| 5000 Mbps | 8000 Mbps |
| 625 Mbps | 1000 Mbps |
| 20000 IOPS | 32000 IOPS |
| 40000 IOPS | 32000 IOPS |
| 10000 Mbps | 8000 Mbps |
| 1250 Mbps | 1000 Mbps |
| Up to 15 Gigabit | 20 Gigabit |
| yes | yes |
| 8 | 8 |
| 1 | 1 |
| 30 | 30 |
| 30 | 30 |
| yes | yes |
| required | required |
| no | no |
| yes | yes |
| no | no |
| 1.00x | 3.60x |
Regional Prices
Geography | Region | r7g.4xlarge | g6e.4xlarge |
|---|---|---|---|
| Asia Pacific | Asia Pacific (Hyderabad) (ap-south-2) | 0.6006 | n/a |
| Asia Pacific | Asia Pacific (Mumbai) (ap-south-1) | 0.6006 | n/a |
| Hidden | Hidden (hidden-1) | 0.8568 | 3.1657 |
| Hidden | Hidden (hidden-10) | 0.9520 | n/a |
| Hidden | Hidden (hidden-11) | 0.9584 | n/a |
| Hidden | Hidden (hidden-12) | 0.9588 | n/a |
| Hidden | Hidden (hidden-13) | 1.0040 | n/a |
| Hidden | Hidden (hidden-14) | 1.0064 | n/a |
| Hidden | Hidden (hidden-15) | 1.0064 | n/a |
| Hidden | Hidden (hidden-16) | 1.0067 | n/a |
| Hidden | Hidden (hidden-17) | 1.0269 | n/a |
| Hidden | Hidden (hidden-18) | 1.0269 | n/a |
| Hidden | Hidden (hidden-19) | 1.0269 | n/a |
| Hidden | Hidden (hidden-2) | 0.8568 | 3.1867 |
| Hidden | Hidden (hidden-20) | 1.0269 | n/a |
| Hidden | Hidden (hidden-21) | 1.0336 | n/a |
| Hidden | Hidden (hidden-22) | 1.0336 | n/a |
| Hidden | Hidden (hidden-23) | 1.0336 | n/a |
| Hidden | Hidden (hidden-24) | 1.0336 | n/a |
| Hidden | Hidden (hidden-25) | 1.0336 | n/a |
| Hidden | Hidden (hidden-26) | 1.0336 | n/a |
| Hidden | Hidden (hidden-27) | 1.0547 | n/a |
| Hidden | Hidden (hidden-28) | 1.0547 | n/a |
| Hidden | Hidden (hidden-29) | 1.0782 | n/a |
| Hidden | Hidden (hidden-3) | 0.8786 | 3.6080 |
| Hidden | Hidden (hidden-30) | 1.1360 | n/a |
| Hidden | Hidden (hidden-31) | 1.1370 | n/a |
| Hidden | Hidden (hidden-32) | 1.1424 | n/a |
| Hidden | Hidden (hidden-33) | 1.3635 | n/a |
| Hidden | Hidden (hidden-4) | 0.8786 | 3.6855 |
| Hidden | Hidden (hidden-5) | 0.8997 | 3.6936 |
| Hidden | Hidden (hidden-6) | 0.9112 | 3.7565 |
| Hidden | Hidden (hidden-7) | 0.9302 | 4.3570 |
| Hidden | Hidden (hidden-8) | 0.9384 | 4.3570 |
| Hidden | Hidden (hidden-9) | 0.9384 | n/a |
| US | US East (Ohio) (us-east-2) | n/a | 3.0042 |
| US | US East (Virginia) (us-east-1) | 0.8568 | 3.0042 |
| US | US West (Oregon) (us-west-2) | n/a | 3.0042 |