G5 Accelerated Computing
⚡ GPU AcceleratedHardware accelerators (GPUs, FPGAs) for specialized compute.
Name:
gGPU Graphics & ML Inferenceg = GPU Graphics & ML InferencePowered by GPUs (NVIDIA/AMD) for graphics-intensive applications, video encoding, remote workstations, and machine learning inference.55th Generation5 = 5th GenerationAWS 5th generation hardware platform with updated CPU/system architecture.Common use cases
- Machine learning training/inference
- High-performance computing
- Graphics rendering
Head-to-Head Architecture Comparisons
View all comparisons →Instance types (8)
| Instance | vCPU | Memory | GPU Count | GPU Memory | Memory Type | Architecture | From (Linux, $/hr) |
|---|---|---|---|---|---|---|---|
| g5.xlarge | 4 | 16 GB | 1x | 24.0 GB | Standard | x86_64 | $1.0060 |
| g5.2xlarge | 8 | 32 GB | 1x | 24.0 GB | Standard | x86_64 | $1.2120 |
| g5.4xlarge | 16 | 64 GB | 1x | 24.0 GB | Standard | x86_64 | $1.6240 |
| g5.8xlarge | 32 | 128 GB | 1x | 24.0 GB | Standard | x86_64 | $2.4480 |
| g5.12xlarge | 48 | 192 GB | 4x | 96.0 GB | Standard | x86_64 | $5.6720 |
| g5.16xlarge | 64 | 256 GB | 1x | 24.0 GB | Standard | x86_64 | $4.0960 |
| g5.24xlarge | 96 | 384 GB | 4x | 96.0 GB | Standard | x86_64 | $8.1440 |
| g5.48xlarge | 192 | 768 GB | 8x | 192.0 GB | Standard | x86_64 | $16.2880 |