n2-highcpu-16 as a GKE node
16 vCPU16 GiBx86_64Google Cloud us-central1N2 High CPU 16
Where the n2-highcpu-16 goes
Default GKE setup: GKE ≤ 1.36.
CPU15.69 of 16 vCPU left for your pods
Memory13.01 GiB of 16 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
110max pods per node
$418.70on demand / month · $0.5736/h
$238.56spot / month (varies)
n2-highcpu-16 GKE max pods and allocatable memory — quick answers
- How many pods can a n2-highcpu-16 run as a node with GKE ≤ 1.36? Up to 110; kubelet keeps 2762 MiB of memory and 110m CPU, leaving 13.30 GiB and 15.89 vCPU for pods.
- How many pods can a n2-highcpu-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 13.80 GiB and 15.89 vCPU for pods.
- How many 500m / 1 GiB pods fit? 13 per node after DaemonSets; 1 nodes for 10 replicas, about $418.70/month on demand.
What kubelet reserves on n2-highcpu-16
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| GKE ≤ 1.36 tiered memory reservation | 110 | 110m | 2662 Mi + 100 Mi | 15.89 | 13.30 GiB | 83.1% |
| 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 | 13.80 GiB | 86.3% |
How these numbers are computed: reservation formulas. Check a live node with kubectl describe node → Allocatable.
How many pods fit on one n2-highcpu-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 | 104 | 107 | $4.03 |
| 250m / 256 Mi | 52 | 54 | $8.05 |
| 250m / 512 Mi | 26 | 27 | $16.10 |
| 500m / 512 Mi | 26 | 27 | $16.10 |
| 500m / 1024 Mi | 13 | 13 | $32.21 |
| 1000m / 1024 Mi | 13 | 13 | $32.21 |
| 1000m / 2048 Mi | 6 | 6 | $69.78 |
| 2000m / 4096 Mi | 3 | 3 | $139.57 |
| 4000m / 8192 Mi | 1 | 1 | $418.70 |
Similar GKE node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| e2-highcpu-16 | 16 | 16 | 15.89 | 13.30 GiB | 110 | $288.91 | $21.72 |
| n2d-highcpu-16 | 16 | 16 | 15.89 | 13.30 GiB | 110 | $364.28 | $27.38 |
| n1-highcpu-16 | 16 | 14.4004 | 15.89 | 11.86 GiB | 110 | $413.76 | $34.88 |
| c4d-highcpu-16 | 16 | 30 | 15.89 | 26.46 GiB | 110 | $464.18 | $17.54 |
| n4a-highcpu-8 | 8 | 16 | 7.91 | 13.30 GiB | 110 | $189.68 | $14.26 |
| n4d-highcpu-8 | 8 | 16 | 7.91 | 13.30 GiB | 110 | $208.66 | $15.69 |
| c2d-highcpu-8 | 8 | 16 | 7.91 | 13.30 GiB | 110 | $218.89 | $16.45 |
| c3d-highcpu-8 | 8 | 16 | 7.91 | 13.30 GiB | 110 | $218.89 | $16.45 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| c4.4xlarge | 16 | 30 | 15.89 | 27.14 GiB | 234 | $581.08 | $21.41 |
| d8plsv6 | 8 | 16 | 7.82 | 11.90 GiB | 250 | $181.04 | $15.21 |
| c6g.2xlarge | 8 | 16 | 7.91 | 15.03 GiB | 58 | $198.56 | $13.21 |
| d8plsv5 | 8 | 16 | 7.82 | 11.90 GiB | 250 | $198.56 | $16.68 |
| c7g.2xlarge | 8 | 16 | 7.91 | 15.03 GiB | 58 | $211.70 | $14.08 |
| c6a.2xlarge | 8 | 16 | 7.91 | 15.03 GiB | 58 | $223.38 | $14.86 |