c3-highcpu-22 as a GKE node
22 vCPU44 GiBx86_64Google Cloud us-central1C3 High CPU 22
Where the c3-highcpu-22 goes
Default GKE setup: GKE ≤ 1.36.
CPU21.68 of 22 vCPU left for your pods
Memory39.33 GiB of 44 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
110max pods per node
$682.97on demand / month · $0.9356/h
$256.61spot / month (varies)
c3-highcpu-22 GKE max pods and allocatable memory — quick answers
- How many pods can a c3-highcpu-22 run as a node with GKE ≤ 1.36? Up to 110; kubelet keeps 4483 MiB of memory and 125m CPU, leaving 39.62 GiB and 21.88 vCPU for pods.
- How many pods can a c3-highcpu-22 run as a node with GKE 1.37+ (Container-Optimized OS)? Up to 110; kubelet keeps 2250 MiB of memory and 125m CPU, leaving 41.80 GiB and 21.88 vCPU for pods.
- How many 500m / 1 GiB pods fit? 39 per node after DaemonSets; 1 nodes for 10 replicas, about $682.97/month on demand.
What kubelet reserves on c3-highcpu-22
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| GKE ≤ 1.36 tiered memory reservation | 110 | 125m | 4383 Mi + 100 Mi | 21.88 | 39.62 GiB | 90.1% |
| GKE 1.37+ (Container-Optimized OS) 15 MiB × max pods + 500 MiB, CPU capped at 1 vCPU | 110 | 125m | 2150 Mi + 100 Mi | 21.88 | 41.80 GiB | 95.0% |
How these numbers are computed: reservation formulas. Check a live node with kubectl describe node → Allocatable.
How many pods fit on one c3-highcpu-22
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 | $6.38 |
| 250m / 256 Mi | 86 | 86 | $7.94 |
| 250m / 512 Mi | 78 | 83 | $8.76 |
| 500m / 512 Mi | 43 | 43 | $15.88 |
| 500m / 1024 Mi | 39 | 41 | $17.51 |
| 1000m / 1024 Mi | 21 | 21 | $32.52 |
| 1000m / 2048 Mi | 19 | 20 | $35.95 |
| 2000m / 4096 Mi | 9 | 10 | $75.89 |
| 4000m / 8192 Mi | 4 | 5 | $170.74 |
Similar GKE node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| c4-highcpu-24 | 24 | 48 | 23.87 | 43.38 GiB | 110 | $745.06 | $17.17 |
| c4n-highcpu-24 | 24 | 48 | 23.87 | 43.38 GiB | 110 | $1,192.10 | $27.48 |
| c3d-highcpu-30 | 30 | 59 | 29.86 | 53.72 GiB | 110 | $817.94 | $15.23 |
| n1-standard-16 | 16 | 60 | 15.89 | 54.66 GiB | 110 | $554.80 | $10.15 |
| 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 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| inf1.6xlarge | 24 | 48 | 23.87 | 45.14 GiB | 234 | $861.40 | $19.08 |
| vt1.6xlarge | 24 | 48 | 23.87 | 45.14 GiB | 234 | $949.00 | $21.02 |
| c5n.4xlarge | 16 | 42 | 15.89 | 39.14 GiB | 234 | $630.72 | $16.11 |
| nc24ldsxlrtx6kv6 | 24 | 72 | 23.66 | 66.97 GiB | 250 | $824.90 | $12.32 |
| d16plsv6 | 16 | 32 | 15.74 | 26.97 GiB | 250 | $362.08 | $13.42 |
| c6g.4xlarge | 16 | 32 | 15.89 | 29.14 GiB | 234 | $397.12 | $13.63 |