c3d-highmem-60 as a GKE node
60 vCPU480 GiBx86_64Google Cloud us-central1C3D High Memory 60
Where the c3d-highmem-60 goes
Default GKE setup: GKE ≤ 1.36.
CPU59.58 of 60 vCPU left for your pods
Memory463.25 GiB of 480 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
110max pods per node
$2,682.09on demand / month · $3.67/h
$683.72spot / month (varies)
c3d-highmem-60 GKE max pods and allocatable memory — quick answers
- How many pods can a c3d-highmem-60 run as a node with GKE ≤ 1.36? Up to 110; kubelet keeps 16853 MiB of memory and 220m CPU, leaving 463.54 GiB and 59.78 vCPU for pods.
- How many pods can a c3d-highmem-60 run as a node with GKE 1.37+ (Container-Optimized OS)? Up to 110; kubelet keeps 2250 MiB of memory and 220m CPU, leaving 477.80 GiB and 59.78 vCPU for pods.
- How many 500m / 1 GiB pods fit? 107 per node after DaemonSets; 1 nodes for 10 replicas, about $2,682.09/month on demand.
What kubelet reserves on c3d-highmem-60
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| GKE ≤ 1.36 tiered memory reservation | 110 | 220m | 16753 Mi + 100 Mi | 59.78 | 463.54 GiB | 96.6% |
| GKE 1.37+ (Container-Optimized OS) 15 MiB × max pods + 500 MiB, CPU capped at 1 vCPU | 110 | 220m | 2150 Mi + 100 Mi | 59.78 | 477.80 GiB | 99.5% |
How these numbers are computed: reservation formulas. Check a live node with kubectl describe node → Allocatable.
How many pods fit on one c3d-highmem-60
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 | $25.07 |
| 250m / 256 Mi | 107 | 107 | $25.07 |
| 250m / 512 Mi | 107 | 107 | $25.07 |
| 500m / 512 Mi | 107 | 107 | $25.07 |
| 500m / 1024 Mi | 107 | 107 | $25.07 |
| 1000m / 1024 Mi | 59 | 59 | $45.46 |
| 1000m / 2048 Mi | 59 | 59 | $45.46 |
| 2000m / 4096 Mi | 29 | 29 | $92.49 |
| 4000m / 8192 Mi | 14 | 14 | $191.58 |
Similar GKE node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| c3d-highmem-60-lssd | 60 | 480 | 59.78 | 463.54 GiB | 110 | $2,802.09 | $6.04 |
| c4d-highmem-64 | 64 | 504 | 63.77 | 487.06 GiB | 110 | $2,908.84 | $5.97 |
| c4d-highmem-64-lssd | 64 | 504 | 63.77 | 487.06 GiB | 110 | $3,268.84 | $6.71 |
| n4a-highmem-64 | 64 | 512 | 63.77 | 494.90 GiB | 110 | $2,361.23 | $4.77 |
| n4d-highmem-64 | 64 | 512 | 63.77 | 494.90 GiB | 110 | $2,597.16 | $5.25 |
| n2d-highmem-64 | 64 | 512 | 63.77 | 494.90 GiB | 110 | $2,662.57 | $5.38 |
| c4a-highmem-64 | 64 | 512 | 63.77 | 494.90 GiB | 110 | $2,753.68 | $5.56 |
| n4-highmem-64 | 64 | 512 | 63.77 | 494.90 GiB | 110 | $2,780.31 | $5.62 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| r4.16xlarge | 64 | 488 | 63.77 | 479.74 GiB | 737 | $3,106.88 | $6.48 |
| i3.16xlarge | 64 | 488 | 63.77 | 479.74 GiB | 737 | $3,644.16 | $7.60 |
| i3.metal | 64 | 488 | 63.77 | 484.97 GiB | 250 | $3,644.16 | $7.51 |
| e64sv4 | 64 | 504 | 63.26 | 498.97 GiB | 250 | $2,943.36 | $5.90 |
| e64v4 | 64 | 504 | 63.26 | 498.97 GiB | 250 | $2,943.36 | $5.90 |
| e64dsv4 | 64 | 504 | 63.26 | 498.97 GiB | 250 | $3,363.84 | $6.74 |