c3d-highcpu-30 as a GKE node
30 vCPU59 GiBx86_64Google Cloud us-central1C3D High CPU 30
Where the c3d-highcpu-30 goes
Default GKE setup: GKE ≤ 1.36.
CPU29.66 of 30 vCPU left for your pods
Memory53.43 GiB of 59 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
110max pods per node
$817.94on demand / month · $1.12/h
$208.41spot / month (varies)
c3d-highcpu-30 GKE max pods and allocatable memory — quick answers
- How many pods can a c3d-highcpu-30 run as a node with GKE ≤ 1.36? Up to 110; kubelet keeps 5404 MiB of memory and 145m CPU, leaving 53.72 GiB and 29.86 vCPU for pods.
- How many pods can a c3d-highcpu-30 run as a node with GKE 1.37+ (Container-Optimized OS)? Up to 110; kubelet keeps 2250 MiB of memory and 145m CPU, leaving 56.80 GiB and 29.86 vCPU for pods.
- How many 500m / 1 GiB pods fit? 53 per node after DaemonSets; 1 nodes for 10 replicas, about $817.94/month on demand.
What kubelet reserves on c3d-highcpu-30
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| GKE ≤ 1.36 tiered memory reservation | 110 | 145m | 5304 Mi + 100 Mi | 29.86 | 53.72 GiB | 91.1% |
| GKE 1.37+ (Container-Optimized OS) 15 MiB × max pods + 500 MiB, CPU capped at 1 vCPU | 110 | 145m | 2150 Mi + 100 Mi | 29.86 | 56.80 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 c3d-highcpu-30
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 | $7.64 |
| 250m / 256 Mi | 107 | 107 | $7.64 |
| 250m / 512 Mi | 106 | 107 | $7.72 |
| 500m / 512 Mi | 59 | 59 | $13.86 |
| 500m / 1024 Mi | 53 | 56 | $15.43 |
| 1000m / 1024 Mi | 29 | 29 | $28.20 |
| 1000m / 2048 Mi | 26 | 28 | $31.46 |
| 2000m / 4096 Mi | 13 | 14 | $62.92 |
| 4000m / 8192 Mi | 6 | 7 | $136.32 |
Similar GKE node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| c4d-highcpu-32 | 32 | 60 | 31.85 | 54.66 GiB | 110 | $928.35 | $16.98 |
| n4a-highcpu-32 | 32 | 64 | 31.85 | 58.42 GiB | 110 | $758.73 | $12.99 |
| n4d-highcpu-32 | 32 | 64 | 31.85 | 58.42 GiB | 110 | $834.65 | $14.29 |
| c2d-highcpu-32 | 32 | 64 | 31.85 | 58.42 GiB | 110 | $875.56 | $14.99 |
| c4a-highcpu-32 | 32 | 64 | 31.85 | 58.42 GiB | 110 | $884.88 | $15.15 |
| n4-highcpu-32 | 32 | 64 | 31.85 | 58.42 GiB | 110 | $893.99 | $15.30 |
| c4-highcpu-32 | 32 | 64 | 31.85 | 58.42 GiB | 110 | $993.41 | $17.00 |
| c4-highcpu-24 | 24 | 48 | 23.87 | 43.38 GiB | 110 | $745.06 | $17.17 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| d32plsv6 | 32 | 64 | 31.58 | 58.97 GiB | 250 | $724.16 | $12.28 |
| c6g.8xlarge | 32 | 64 | 31.85 | 61.14 GiB | 234 | $794.24 | $12.99 |
| d32plsv5 | 32 | 64 | 31.58 | 58.97 GiB | 250 | $794.24 | $13.47 |
| c7g.8xlarge | 32 | 64 | 31.85 | 61.14 GiB | 234 | $846.80 | $13.85 |
| c6a.8xlarge | 32 | 64 | 31.85 | 61.14 GiB | 234 | $893.52 | $14.61 |
| c6gd.8xlarge | 32 | 64 | 31.85 | 61.14 GiB | 234 | $897.02 | $14.67 |