4 vCPU
16 GiB
150 GB NVMe
Up to 10 Gbps
Up to 3 Gbps
x86_64
Every way to pay
Prices in Frankfurt. Bars are relative to on-demand.
| Plan | Monthly | Yearly | Saves | |
|---|---|---|---|---|
On-demand Pay by the second, no commitment | $345 | $4,146 | ||
Reserved, 1 yr No upfront, this size and region | Not sold in this region | |||
Reserved, 3 yr No upfront, this size and region | Not sold in this region | |||
What will it cost me?
Enter how you plan to run it.
/mo
a year
You run these most of the time. A 1-year reservation bills every hour, and would still cost /mo.
| Same usage on each plan | Monthly | Yearly |
|---|---|---|
| On-demand |
Reservations bill every hour of the month, whether the instance runs or not.
Other sizes in this family
Price roughly doubles with each step. Pick a size to open it.
Price in every region
Cheapest in US East (N. Virginia). Moving from Frankfurt would save $830 a year per instance.
Not offered in N. California , Calgary , Central , São Paulo , US-East , US-West , Paris , Zurich , Stockholm , Milan , Spain , Mumbai , Hyderabad , Singapore , Sydney , Jakarta , Melbourne , Malaysia , New Zealand , Thailand , Seoul , Osaka , Hong Kong , Taipei , UAE , Bahrain , Tel Aviv , Cape Town .
Same shape, other families
Every instance with 4 vCPU · 16 GiB in Frankfurt, ranked by price.
| Instance | Processor | Generation | Local disk | Price/hr | vs g4ad.xlarge | |
|---|---|---|---|---|---|---|
| g4ad.xlarge | EPYC Rome | Gen 4 | 150 GB NVMe | $0.4733 | — | |
| g4dn.xlarge | Xeon Family | Gen 4 | 125 GB NVMe | $0.6580 | +39% | |
| g6.xlarge | EPYC Milan | Gen 6 | 250 GB NVMe | $1.006 | +113% | |
| inf2.xlarge | EPYC Milan | EBS only | $1.137 | +140% | ||
| g5.xlarge | EPYC Rome | Gen 5 | 250 GB NVMe | $1.258 | +166% |
Specifications
- API name
- g4ad.xlarge
- Processor
- AMD EPYC 7R32
- Local storage
- 1 × 150 GB NVMe
- Family
- GPU instance
- Clock speed
- 2.8 GHz
- Network
- Up to 10 Gbps
- Generation
- Gen 4
- Architecture
- x86_64
- EBS bandwidth
- Up to 3 Gbps
- vCPUs
- 4
- Memory
- 16 GiB
- GPUs
- 1 · 8 GB