g7e.8xlarge
Amazon EC2 instance g7e.8xlarge with 32 vCPUs, 256 GiB RAM and 1 x NVIDIA RTX PRO Server 6000 96 GiB. Available in 7 regions starting from $3845.82 per month. A -100% cheaper alternative is available.
| g7e.8xlarge |
| GPU instance |
| 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) 7 – Generation e – Extra storage or memory 8xlarge – Size |
| 32 |
| 256 GiB |
| x86_64 |
| Intel Xeon Scalable (Emerald Rapids) |
| 2.4 GHz |
| 2 |
| yes |
| RTX PRO Server 6000 |
| NVIDIA |
| 1 |
| 96 GiB |
| 96 GiB |
| no |
| 96 GiB |
| no |
| no |
| no |
| no |
| 1 x 1900 NVMe SSD |
| default |
| supported |
| required |
| 16000 MBps |
| 16000 Mbps |
| 2000 Mbps |
| 64000 IOPS |
| 64000 IOPS |
| 16000 Mbps |
| 2000 Mbps |
| 100 Gigabit |
| yes |
| 8 |
| 1 |
| 64 |
| 64 |
| yes |
| required |
| yes |
| 1 |
| yes |
| no |
Regional Availability
US
GovCloud (US-East) / us-gov-east-1
GovCloud (US-West) / us-gov-west-1
US East (Ohio) / us-east-2
US East (Virginia) / us-east-1
US West (N. California) / us-west-1
US West (Oregon) / us-west-2
GovCloud (US-East) / us-gov-east-1
GovCloud (US-West) / us-gov-west-1
US East (Ohio) / us-east-2
US East (Virginia) / us-east-1
US West (N. California) / us-west-1
US West (Oregon) / us-west-2
Central America
Mexico (Central) / mx-central-1
Mexico (Central) / mx-central-1
Canada
Canada (Central) / ca-central-1
Canada West (Calgary) / ca-west-1
Canada (Central) / ca-central-1
Canada West (Calgary) / ca-west-1
Europe
Europe (Ireland) / eu-west-1
Europe (London) / eu-west-2
Europe (Frankfurt) / eu-central-1
Europe (Milan) / eu-south-1
Europe (Paris) / eu-west-3
Europe (Spain) / eu-south-2
Europe (Stockholm) / eu-north-1
Europe (Zurich) / eu-central-2
Europe (Ireland) / eu-west-1
Europe (London) / eu-west-2
Europe (Frankfurt) / eu-central-1
Europe (Milan) / eu-south-1
Europe (Paris) / eu-west-3
Europe (Spain) / eu-south-2
Europe (Stockholm) / eu-north-1
Europe (Zurich) / eu-central-2
Africa
Africa (Cape Town) / af-south-1
Africa (Cape Town) / af-south-1
South America
South America (São Paulo) / sa-east-1
South America (São Paulo) / sa-east-1
Asia Pacific
Asia Pacific (Hong Kong) / ap-east-1
Asia Pacific (Hyderabad) / ap-south-2
Asia Pacific (Jakarta) / ap-southeast-3
Asia Pacific (Malaysia) / ap-southeast-5
Asia Pacific (Melbourne) / ap-southeast-4
Asia Pacific (Mumbai) / ap-south-1
Asia Pacific (New Zealand) / ap-southeast-6
Asia Pacific (Osaka) / ap-northeast-3
Asia Pacific (Seoul) / ap-northeast-2
Asia Pacific (Singapore) / ap-southeast-1
Asia Pacific (Sydney) / ap-southeast-2
Asia Pacific (Taipei) / ap-east-2
Asia Pacific (Thailand) / ap-southeast-7
Asia Pacific (Tokyo) / ap-northeast-1
Asia Pacific (Hong Kong) / ap-east-1
Asia Pacific (Hyderabad) / ap-south-2
Asia Pacific (Jakarta) / ap-southeast-3
Asia Pacific (Malaysia) / ap-southeast-5
Asia Pacific (Melbourne) / ap-southeast-4
Asia Pacific (Mumbai) / ap-south-1
Asia Pacific (New Zealand) / ap-southeast-6
Asia Pacific (Osaka) / ap-northeast-3
Asia Pacific (Seoul) / ap-northeast-2
Asia Pacific (Singapore) / ap-southeast-1
Asia Pacific (Sydney) / ap-southeast-2
Asia Pacific (Taipei) / ap-east-2
Asia Pacific (Thailand) / ap-southeast-7
Asia Pacific (Tokyo) / ap-northeast-1
Middle East
Israel (Tel Aviv) / il-central-1
Middle East (Bahrain) / me-south-1
Middle East (UAE) / me-central-1
Israel (Tel Aviv) / il-central-1
Middle East (Bahrain) / me-south-1
Middle East (UAE) / me-central-1
Regional Prices
Geography | Region Name | Region | Savings Options | Instance Price |
|---|---|---|---|---|
| US | US East (Virginia) | us-east-1 | compare | 5.2682 |
| US | US East (Ohio) | us-east-2 | compare | 5.2682 |
| US | US West (Oregon) | us-west-2 | compare | 5.2682 |
| Hidden | Hidden | hidden-1 | compare | 5.5513 |
| Hidden | Hidden | hidden-2 | compare | 6.4770 |
| Hidden | Hidden | hidden-3 | compare | 7.6405 |
| Hidden | Hidden | hidden-4 | compare | 9.1565 |
Best AI models you can run on this instance
Top open-weight chat models ranked by Intelligence Index that fit in g7e.8xlarge's 96 GB of GPU memory. VRAM is estimated from the parameter count at the selected quantization, so treat it as guidance rather than a guarantee.
Chat Models
FP16 (full precision)
Model | Creator | Intelligence | Total params | Active params | ~VRAM | |
|---|---|---|---|---|---|---|
| Qwen3.6 27B | 37.1#51 | 27B | — | 65 GB | ||
| Qwen3.5 27B | 33.8#71 | 27B | — | 65 GB | ||
| Qwen3.6 35B A3B | 33.0#83 | 35B | 3B | 84 GB | ||
Similar Alternative Instances
Find Similar Instances In:
Instance Type | Region | vCPUs | Memory (GiB) | GPU Name | Instance Price | Price Diff % |
|---|---|---|---|---|---|---|
| p5.4xlarge | US East (Virginia) (us-east-1) | 16 | 256 | H100 | n/a | -100% |
| g7e.2xlarge | US East (Virginia) (us-east-1) | 8 | 64 | RTX PRO Server 6000 | 3.3631 | -36% |
| g7e.4xlarge | US East (Virginia) (us-east-1) | 16 | 128 | RTX PRO Server 6000 | 3.9982 | -24% |
| g6e.8xlarge | US East (Virginia) (us-east-1) | 32 | 256 | L40S | 4.5286 | -14% |
| g7e.12xlarge | US East (Virginia) (us-east-1) | 48 | 512 | RTX PRO Server 6000 | 8.2861 | 57% |