n1-standard-16 as a GKE node
16 vCPU60 GiBx86_64Google Cloud us-central1N1 Standard 16
Where the n1-standard-16 goes
Default GKE setup: GKE ≤ 1.36.
CPU15.69 of 16 vCPU left for your pods
Memory54.37 GiB of 60 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
110max pods per node
$554.80on demand / month · $0.7600/h
$316.09spot / month (varies)
n1-standard-16 GKE max pods and allocatable memory — quick answers
- How many pods can a n1-standard-16 run as a node with GKE ≤ 1.36? Up to 110; kubelet keeps 5466 MiB of memory and 110m CPU, leaving 54.66 GiB and 15.89 vCPU for pods.
- How many pods can a n1-standard-16 run as a node with GKE 1.37+ (Container-Optimized OS)? Up to 110; kubelet keeps 2250 MiB of memory and 110m CPU, leaving 57.80 GiB and 15.89 vCPU for pods.
- How many 500m / 1 GiB pods fit? 31 per node after DaemonSets; 1 nodes for 10 replicas, about $554.80/month on demand.
What kubelet reserves on n1-standard-16
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| GKE ≤ 1.36 tiered memory reservation | 110 | 110m | 5366 Mi + 100 Mi | 15.89 | 54.66 GiB | 91.1% |
| GKE 1.37+ (Container-Optimized OS) 15 MiB × max pods + 500 MiB, CPU capped at 1 vCPU | 110 | 110m | 2150 Mi + 100 Mi | 15.89 | 57.80 GiB | 96.3% |
How these numbers are computed: reservation formulas. Check a live node with kubectl describe node → Allocatable.
How many pods fit on one n1-standard-16
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 | $5.19 |
| 250m / 256 Mi | 62 | 62 | $8.95 |
| 250m / 512 Mi | 62 | 62 | $8.95 |
| 500m / 512 Mi | 31 | 31 | $17.90 |
| 500m / 1024 Mi | 31 | 31 | $17.90 |
| 1000m / 1024 Mi | 15 | 15 | $36.99 |
| 1000m / 2048 Mi | 15 | 15 | $36.99 |
| 2000m / 4096 Mi | 7 | 7 | $79.26 |
| 4000m / 8192 Mi | 3 | 3 | $184.93 |
Similar GKE node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| c4-standard-16 | 16 | 60 | 15.89 | 54.66 GiB | 110 | $577.20 | $10.56 |
| c4-standard-16-lssd | 16 | 60 | 15.89 | 54.66 GiB | 110 | $697.20 | $12.75 |
| c4n-standard-16 | 16 | 60 | 15.89 | 54.66 GiB | 110 | $923.52 | $16.90 |
| c4n-standard-16-lssd | 16 | 60 | 15.89 | 54.66 GiB | 110 | $983.52 | $17.99 |
| c4d-standard-16 | 16 | 62 | 15.89 | 56.54 GiB | 110 | $551.85 | $9.76 |
| c4d-standard-16-lssd | 16 | 62 | 15.89 | 56.54 GiB | 110 | $611.85 | $10.82 |
| e2-standard-16 | 16 | 64 | 15.89 | 58.42 GiB | 110 | $391.35 | $6.70 |
| n4a-standard-16 | 16 | 64 | 15.89 | 58.42 GiB | 110 | $449.68 | $7.70 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| d16psv6 | 16 | 64 | 15.74 | 58.97 GiB | 250 | $410.26 | $6.96 |
| m6g.4xlarge | 16 | 64 | 15.89 | 61.14 GiB | 234 | $449.68 | $7.35 |
| d16psv5 | 16 | 64 | 15.74 | 58.97 GiB | 250 | $449.68 | $7.63 |
| m7g.4xlarge | 16 | 64 | 15.89 | 61.14 GiB | 234 | $476.54 | $7.79 |
| m5a.4xlarge | 16 | 64 | 15.89 | 61.14 GiB | 234 | $502.24 | $8.21 |
| d16asv5 | 16 | 64 | 15.74 | 58.97 GiB | 250 | $502.24 | $8.52 |