AWS G4dn instance types
G4dn is a gpu & accelerated Amazon EC2 family with 7 instance types, from 4 – 96 vCPUs and 16 GiB – 384 GiB of memory with NVIDIA T4 accelerators, running on Intel Xeon Family. Linux on demand starts at $0.526 per hour.
gpu & acceleratedx86-64
- sizes
- 7
- vCPUs
- 4 – 96
- memory
- 16 GiB – 384 GiB
- accelerator
- T4
- on-demand from
- $0.526
per hour · 23 regions
G4dn sizes and prices
Linux, hourly, US East (N. Virginia) (other regions on each size's page)
| Size | vCPU | Memory | Accelerator | Local storage | On-demand | Monthly | Spot | 1-yr |
|---|---|---|---|---|---|---|---|---|
| g4dn.xlarge | 4 | 16 GiB | 1 × NVIDIA T4 | 125 GB NVME | $0.526 | $384 | $0.2204 | $0.331 |
| g4dn.2xlarge | 8 | 32 GiB | 1 × NVIDIA T4 | 225 GB NVME | $0.752 | $549 | $0.3063 | $0.474 |
| g4dn.4xlarge | 16 | 64 GiB | 1 × NVIDIA T4 | 225 GB NVME | $1.204 | $879 | $0.5264 | $0.759 |
| g4dn.8xlarge | 32 | 128 GiB | 1 × NVIDIA T4 | 900 GB NVME | $2.176 | $1,588 | $0.8729 | $1.371 |
| g4dn.12xlarge | 48 | 192 GiB | 4 × NVIDIA T4 | 900 GB NVME | $3.912 | $2,856 | $1.727 | $2.465 |
| g4dn.16xlarge | 64 | 256 GiB | 1 × NVIDIA T4 | 900 GB NVME | $4.352 | $3,177 | $1.564 | $2.742 |
| g4dn.metal | 96 | 384 GiB | 8 × NVIDIA T4 | 1.8 TB NVME (2 disks) | $7.824 | $5,712 | $3.523 | $4.929 |
G4dn equivalents on other clouds
closest match to g4dn.8xlarge (32 vCPU, 128 GiB)
AzureNC16as T4 v3NCasT4v3 family · 16 vCPU · 110 GiB · 1 × NVIDIA T4$1.204/hr · East USNCasT4v3 family →
AkamaiRTX4000 Ada x1 X-LargeGPU (RTX 4000 Ada) family · 32 vCPU · 128 GiB · 1 × NVIDIA RTX 4000 Ada$1.53/hr · Newark, NJGPU (RTX 4000 Ada) family →
Other gpu & accelerated families on AWS
G4dn FAQ
What sizes does the AWS G4dn family have?
G4dn has 7 instance types, from g4dn.xlarge (4 vCPU, 16 GiB) to g4dn.metal (96 vCPU, 384 GiB). They run on Intel Xeon Family.
What is the cheapest G4dn instance type?
g4dn.xlarge at $0.526 per hour (Linux, on demand) in US East (N. Virginia), about $384 per month.
What is G4dn best for?
G4dn is a gpu & accelerated family. GPUs and AI accelerators for training, inference, rendering and video.