g2-standard-48 as a GKE node
48 vCPU192 GiBx86_644 GPUGoogle Cloud us-central1G2 Standard 48
Where the g2-standard-48 goes
Default GKE setup: GKE ≤ 1.36.
CPU47.61 of 48 vCPU left for your pods
Memory181.01 GiB of 192 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
110max pods per node
$1,285.90on demand / month · $1.76/h
$732.76spot / month (varies)
g2-standard-48 GKE max pods and allocatable memory — quick answers
- How many pods can a g2-standard-48 run as a node with GKE ≤ 1.36? Up to 110; kubelet keeps 10954 MiB of memory and 190m CPU, leaving 181.30 GiB and 47.81 vCPU for pods.
- How many pods can a g2-standard-48 run as a node with GKE 1.37+ (Container-Optimized OS)? Up to 110; kubelet keeps 2250 MiB of memory and 190m CPU, leaving 189.80 GiB and 47.81 vCPU for pods.
- How many 500m / 1 GiB pods fit? 95 per node after DaemonSets; 1 nodes for 10 replicas, about $1,285.90/month on demand.
What kubelet reserves on g2-standard-48
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| GKE ≤ 1.36 tiered memory reservation | 110 | 190m | 10854 Mi + 100 Mi | 47.81 | 181.30 GiB | 94.4% |
| GKE 1.37+ (Container-Optimized OS) 15 MiB × max pods + 500 MiB, CPU capped at 1 vCPU | 110 | 190m | 2150 Mi + 100 Mi | 47.81 | 189.80 GiB | 98.9% |
How these numbers are computed: reservation formulas. Check a live node with kubectl describe node → Allocatable.
How many pods fit on one g2-standard-48
Assumes DaemonSets (CNI, kube-proxy, log and metrics agents) request 200m CPU, 300 Mi and 3 pods per node. Try your own numbers in the node calculator.
| Pod requests (CPU / memory) | GKE ≤ 1.36 | GKE 1.37+ (Container-Optimized OS) | $ per pod / month |
|---|---|---|---|
| 100m / 128 Mi | 107 | 107 | $12.02 |
| 250m / 256 Mi | 107 | 107 | $12.02 |
| 250m / 512 Mi | 107 | 107 | $12.02 |
| 500m / 512 Mi | 95 | 95 | $13.54 |
| 500m / 1024 Mi | 95 | 95 | $13.54 |
| 1000m / 1024 Mi | 47 | 47 | $27.36 |
| 1000m / 2048 Mi | 47 | 47 | $27.36 |
| 2000m / 4096 Mi | 23 | 23 | $55.91 |
| 4000m / 8192 Mi | 11 | 11 | $116.90 |
Similar GKE node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| a2-highgpu-4g | 48 | 340 | 47.81 | 326.34 GiB | 110 | $2,159.27 | $6.62 |
| a3-highgpu-1g | 26 | 234 | 25.86 | 222.46 GiB | 110 | $923.23 | $4.15 |
| g2-standard-32 | 32 | 128 | 31.85 | 118.58 GiB | 110 | $857.27 | $7.23 |
| a2-highgpu-2g | 24 | 170 | 23.87 | 159.74 GiB | 110 | $1,079.64 | $6.76 |
| a3-highgpu-2g | 52 | 468 | 51.80 | 451.78 GiB | 110 | $1,846.46 | $4.09 |
| a2-ultragpu-4g | 48 | 680 | 47.81 | 659.54 GiB | 110 | $3,330.90 | $5.05 |
| a2-ultragpu-2g | 24 | 340 | 23.87 | 326.34 GiB | 110 | $1,665.45 | $5.10 |
| g2-standard-24 | 24 | 96 | 23.87 | 88.50 GiB | 110 | $642.95 | $7.26 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| g4dn.12xlarge | 48 | 192 | 47.81 | 189.14 GiB | 234 | $2,855.76 | $15.10 |
| g6.12xlarge | 48 | 192 | 47.81 | 189.14 GiB | 234 | $3,359.17 | $17.76 |
| g5.12xlarge | 48 | 192 | 47.81 | 183.74 GiB | 737 | $4,140.56 | $22.54 |
| g7.12xlarge | 48 | 192 | 47.81 | 183.51 GiB | 758 | $5,203.67 | $28.36 |
| g6.16xlarge | 64 | 256 | 63.77 | 247.74 GiB | 737 | $2,479.66 | $10.01 |
| g4ad.16xlarge | 64 | 256 | 63.77 | 253.14 GiB | 234 | $2,531.64 | $10.00 |