c4d-highmem-32 as a GKE node
32 vCPU252 GiBx86_64Google Cloud us-central1C4D High Memory 32
Where the c4d-highmem-32 goes
Default GKE setup: GKE ≤ 1.36.
CPU31.65 of 32 vCPU left for your pods
Memory239.81 GiB of 252 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
110max pods per node
$1,454.42on demand / month · $1.99/h
$616.90spot / month (varies)
c4d-highmem-32 GKE max pods and allocatable memory — quick answers
- How many pods can a c4d-highmem-32 run as a node with GKE ≤ 1.36? Up to 110; kubelet keeps 12183 MiB of memory and 150m CPU, leaving 240.10 GiB and 31.85 vCPU for pods.
- How many pods can a c4d-highmem-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 249.80 GiB and 31.85 vCPU for pods.
- How many 500m / 1 GiB pods fit? 63 per node after DaemonSets; 1 nodes for 10 replicas, about $1,454.42/month on demand.
What kubelet reserves on c4d-highmem-32
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| GKE ≤ 1.36 tiered memory reservation | 110 | 150m | 12083 Mi + 100 Mi | 31.85 | 240.10 GiB | 95.3% |
| 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 | 249.80 GiB | 99.1% |
How these numbers are computed: reservation formulas. Check a live node with kubectl describe node → Allocatable.
How many pods fit on one c4d-highmem-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 | $13.59 |
| 250m / 256 Mi | 107 | 107 | $13.59 |
| 250m / 512 Mi | 107 | 107 | $13.59 |
| 500m / 512 Mi | 63 | 63 | $23.09 |
| 500m / 1024 Mi | 63 | 63 | $23.09 |
| 1000m / 1024 Mi | 31 | 31 | $46.92 |
| 1000m / 2048 Mi | 31 | 31 | $46.92 |
| 2000m / 4096 Mi | 15 | 15 | $96.96 |
| 4000m / 8192 Mi | 7 | 7 | $207.77 |
Similar GKE node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| c4d-highmem-32-lssd | 32 | 252 | 31.85 | 240.10 GiB | 110 | $1,574.42 | $6.56 |
| n4a-highmem-32 | 32 | 256 | 31.85 | 244.02 GiB | 110 | $1,180.61 | $4.84 |
| n4d-highmem-32 | 32 | 256 | 31.85 | 244.02 GiB | 110 | $1,298.58 | $5.32 |
| n2d-highmem-32 | 32 | 256 | 31.85 | 244.02 GiB | 110 | $1,331.29 | $5.46 |
| c4a-highmem-32 | 32 | 256 | 31.85 | 244.02 GiB | 110 | $1,376.84 | $5.64 |
| n4-highmem-32 | 32 | 256 | 31.85 | 244.02 GiB | 110 | $1,390.15 | $5.70 |
| c2d-highmem-32 | 32 | 256 | 31.85 | 244.02 GiB | 110 | $1,430.45 | $5.86 |
| n2-highmem-32 | 32 | 256 | 31.85 | 244.02 GiB | 110 | $1,530.24 | $6.27 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| e32psv6 | 32 | 256 | 31.58 | 250.97 GiB | 250 | $1,076.75 | $4.29 |
| r6g.8xlarge | 32 | 256 | 31.85 | 253.14 GiB | 234 | $1,177.34 | $4.65 |
| r7g.8xlarge | 32 | 256 | 31.85 | 253.14 GiB | 234 | $1,250.93 | $4.94 |
| r5a.8xlarge | 32 | 256 | 31.85 | 253.14 GiB | 234 | $1,319.84 | $5.21 |
| e32asv5 | 32 | 256 | 31.58 | 250.97 GiB | 250 | $1,319.84 | $5.26 |
| r6a.8xlarge | 32 | 256 | 31.85 | 253.14 GiB | 234 | $1,324.51 | $5.23 |