c3d-standard-30 as a GKE node
30 vCPU120 GiBx86_64Google Cloud us-central1C3D Standard 30
Where the c3d-standard-30 goes
Default GKE setup: GKE ≤ 1.36.
CPU29.66 of 30 vCPU left for your pods
Memory110.77 GiB of 120 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
110max pods per node
$994.24on demand / month · $1.36/h
$253.38spot / month (varies)
c3d-standard-30 GKE max pods and allocatable memory — quick answers
- How many pods can a c3d-standard-30 run as a node with GKE ≤ 1.36? Up to 110; kubelet keeps 9152 MiB of memory and 145m CPU, leaving 111.06 GiB and 29.86 vCPU for pods.
- How many pods can a c3d-standard-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 117.80 GiB and 29.86 vCPU for pods.
- How many 500m / 1 GiB pods fit? 59 per node after DaemonSets; 1 nodes for 10 replicas, about $994.24/month on demand.
What kubelet reserves on c3d-standard-30
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| GKE ≤ 1.36 tiered memory reservation | 110 | 145m | 9052 Mi + 100 Mi | 29.86 | 111.06 GiB | 92.6% |
| 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 | 117.80 GiB | 98.2% |
How these numbers are computed: reservation formulas. Check a live node with kubectl describe node → Allocatable.
How many pods fit on one c3d-standard-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 | $9.29 |
| 250m / 256 Mi | 107 | 107 | $9.29 |
| 250m / 512 Mi | 107 | 107 | $9.29 |
| 500m / 512 Mi | 59 | 59 | $16.85 |
| 500m / 1024 Mi | 59 | 59 | $16.85 |
| 1000m / 1024 Mi | 29 | 29 | $34.28 |
| 1000m / 2048 Mi | 29 | 29 | $34.28 |
| 2000m / 4096 Mi | 14 | 14 | $71.02 |
| 4000m / 8192 Mi | 7 | 7 | $142.03 |
Similar GKE node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| c3d-standard-30-lssd | 30 | 120 | 29.86 | 111.06 GiB | 110 | $1,054.24 | $9.49 |
| c2-standard-30 | 30 | 120 | 29.86 | 111.06 GiB | 110 | $1,143.22 | $10.29 |
| n1-standard-32 | 32 | 120 | 31.85 | 111.06 GiB | 110 | $1,109.59 | $9.99 |
| c4-standard-32 | 32 | 120 | 31.85 | 111.06 GiB | 110 | $1,154.39 | $10.39 |
| c4-standard-32-lssd | 32 | 120 | 31.85 | 111.06 GiB | 110 | $1,454.39 | $13.10 |
| c4d-standard-32 | 32 | 124 | 31.85 | 114.82 GiB | 110 | $1,103.71 | $9.61 |
| c4d-standard-32-lssd | 32 | 124 | 31.85 | 114.82 GiB | 110 | $1,223.71 | $10.66 |
| e2-standard-32 | 32 | 128 | 31.85 | 118.58 GiB | 110 | $782.69 | $6.60 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| d32psv6 | 32 | 128 | 31.58 | 122.97 GiB | 250 | $819.79 | $6.67 |
| m6g.8xlarge | 32 | 128 | 31.85 | 125.14 GiB | 234 | $899.36 | $7.19 |
| d32psv5 | 32 | 128 | 31.58 | 122.97 GiB | 250 | $899.36 | $7.31 |
| m7g.8xlarge | 32 | 128 | 31.85 | 125.14 GiB | 234 | $953.09 | $7.62 |
| m5a.8xlarge | 32 | 128 | 31.85 | 125.14 GiB | 234 | $1,004.48 | $8.03 |
| d32asv5 | 32 | 128 | 31.58 | 122.97 GiB | 250 | $1,004.48 | $8.17 |