Google Cloud G2 machine types
G2 is a gpu & accelerated Compute Engine family with 8 machine types, from 4 – 96 vCPUs and 16 GiB – 384 GiB of memory with NVIDIA L4 accelerators, running on Intel Cascade Lake. Linux on demand starts at $0.7068 per hour.
gpu & acceleratedx86-64
- sizes
- 8
- vCPUs
- 4 – 96
- memory
- 16 GiB – 384 GiB
- accelerator
- L4
- on-demand from
- $0.7068
per hour · 18 regions
G2 sizes and prices
Linux, hourly, Iowa (other regions on each size's page)
| Size | vCPU | Memory | Accelerator | Local storage | On-demand | Monthly | Spot | 1-yr |
|---|---|---|---|---|---|---|---|---|
| g2-standard-4 | 4 | 16 GiB | 1 × NVIDIA L4 | – | $0.7068 | $516 | $0.423 | $0.4453 |
| g2-standard-8 | 8 | 32 GiB | 1 × NVIDIA L4 | – | $0.8536 | $623 | $0.5108 | $0.5378 |
| g2-standard-12 | 12 | 48 GiB | 1 × NVIDIA L4 | – | $1.00 | $730 | $0.5986 | $0.6303 |
| g2-standard-16 | 16 | 64 GiB | 1 × NVIDIA L4 | – | $1.147 | $837 | $0.6865 | $0.7227 |
| g2-standard-24 | 24 | 96 GiB | 2 × NVIDIA L4 | – | $2.001 | $1,461 | $1.197 | $1.261 |
| g2-standard-32 | 32 | 128 GiB | 1 × NVIDIA L4 | – | $1.734 | $1,266 | $1.038 | $1.093 |
| g2-standard-48 | 48 | 192 GiB | 4 × NVIDIA L4 | – | $4.002 | $2,921 | $2.395 | $2.521 |
| g2-standard-96 | 96 | 384 GiB | 8 × NVIDIA L4 | – | $8.003 | $5,842 | $4.789 | $5.042 |
G2 equivalents on other clouds
closest match to g2-standard-16 (16 vCPU, 64 GiB)
AWSg6.4xlargeG6 family · 16 vCPU · 64 GiB · 1 × NVIDIA L4$1.323/hr · US East (N. Virginia)G6 family →
AkamaiRTX4000 Ada x1 LargeGPU (RTX 4000 Ada) family · 16 vCPU · 64 GiB · 1 × NVIDIA RTX 4000 Ada$0.96/hr · Newark, NJGPU (RTX 4000 Ada) family →
Other gpu & accelerated families on Google Cloud
G2 FAQ
What sizes does the Google Cloud G2 family have?
G2 has 8 machine types, from g2-standard-4 (4 vCPU, 16 GiB) to g2-standard-96 (96 vCPU, 384 GiB). They run on Intel Cascade Lake.
What is the cheapest G2 machine type?
g2-standard-4 at $0.7068 per hour (Linux, on demand) in Iowa, about $516 per month.
What is G2 best for?
G2 is a gpu & accelerated family. GPUs and AI accelerators for training, inference, rendering and video.