c2d-highcpu-32 as a GKE node
32 vCPU64 GiBx86_64Google Cloud us-central1C2D High CPU 32
Where the c2d-highcpu-32 goes
Default GKE setup: GKE ≤ 1.36.
CPU31.65 of 32 vCPU left for your pods
Memory58.13 GiB of 64 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
110max pods per node
$875.56on demand / month · $1.20/h
$468.70spot / month (varies)
c2d-highcpu-32 GKE max pods and allocatable memory — quick answers
- How many pods can a c2d-highcpu-32 run as a node with GKE ≤ 1.36? Up to 110; kubelet keeps 5712 MiB of memory and 150m CPU, leaving 58.42 GiB and 31.85 vCPU for pods.
- How many pods can a c2d-highcpu-32 run as a node with GKE 1.37+ (Container-Optimized OS)? Up to 110; kubelet keeps 2250 MiB of memory and 150m CPU, leaving 61.80 GiB and 31.85 vCPU for pods.
- How many 500m / 1 GiB pods fit? 58 per node after DaemonSets; 1 nodes for 10 replicas, about $875.56/month on demand.
What kubelet reserves on c2d-highcpu-32
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| GKE ≤ 1.36 tiered memory reservation | 110 | 150m | 5612 Mi + 100 Mi | 31.85 | 58.42 GiB | 91.3% |
| GKE 1.37+ (Container-Optimized OS) 15 MiB × max pods + 500 MiB, CPU capped at 1 vCPU | 110 | 150m | 2150 Mi + 100 Mi | 31.85 | 61.80 GiB | 96.6% |
How these numbers are computed: reservation formulas. Check a live node with kubectl describe node → Allocatable.
How many pods fit on one c2d-highcpu-32
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 | $8.18 |
| 250m / 256 Mi | 107 | 107 | $8.18 |
| 250m / 512 Mi | 107 | 107 | $8.18 |
| 500m / 512 Mi | 63 | 63 | $13.90 |
| 500m / 1024 Mi | 58 | 61 | $15.10 |
| 1000m / 1024 Mi | 31 | 31 | $28.24 |
| 1000m / 2048 Mi | 29 | 30 | $30.19 |
| 2000m / 4096 Mi | 14 | 15 | $62.54 |
| 4000m / 8192 Mi | 7 | 7 | $125.08 |
Similar GKE node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| 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 |
| 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 |
| c4d-highcpu-32 | 32 | 60 | 31.85 | 54.66 GiB | 110 | $928.35 | $16.98 |
| c3d-highcpu-30 | 30 | 59 | 29.86 | 53.72 GiB | 110 | $817.94 | $15.23 |
| 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 |