c4a-highcpu-8 as a GKE node
8 vCPU16 GiBarm64Google Cloud us-central1C4A High CPU 8
Where the c4a-highcpu-8 goes
Default GKE setup: GKE ≤ 1.36.
CPU7.71 of 8 vCPU left for your pods
Memory13.01 GiB of 16 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
110max pods per node
$221.22on demand / month · $0.3030/h
$104.38spot / month (varies)
c4a-highcpu-8 GKE max pods and allocatable memory — quick answers
- How many pods can a c4a-highcpu-8 run as a node with GKE ≤ 1.36? Up to 110; kubelet keeps 2762 MiB of memory and 90m CPU, leaving 13.30 GiB and 7.91 vCPU for pods.
- How many pods can a c4a-highcpu-8 run as a node with GKE 1.37+ (Container-Optimized OS)? Up to 110; kubelet keeps 2250 MiB of memory and 90m CPU, leaving 13.80 GiB and 7.91 vCPU for pods.
- How many 500m / 1 GiB pods fit? 13 per node after DaemonSets; 1 nodes for 10 replicas, about $221.22/month on demand.
What kubelet reserves on c4a-highcpu-8
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| GKE ≤ 1.36 tiered memory reservation | 110 | 90m | 2662 Mi + 100 Mi | 7.91 | 13.30 GiB | 83.1% |
| GKE 1.37+ (Container-Optimized OS) 15 MiB × max pods + 500 MiB, CPU capped at 1 vCPU | 110 | 90m | 2150 Mi + 100 Mi | 7.91 | 13.80 GiB | 86.3% |
How these numbers are computed: reservation formulas. Check a live node with kubectl describe node → Allocatable.
How many pods fit on one c4a-highcpu-8
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 | 77 | 77 | $2.87 |
| 250m / 256 Mi | 30 | 30 | $7.37 |
| 250m / 512 Mi | 26 | 27 | $8.51 |
| 500m / 512 Mi | 15 | 15 | $14.75 |
| 500m / 1024 Mi | 13 | 13 | $17.02 |
| 1000m / 1024 Mi | 7 | 7 | $31.60 |
| 1000m / 2048 Mi | 6 | 6 | $36.87 |
| 2000m / 4096 Mi | 3 | 3 | $73.74 |
| 4000m / 8192 Mi | 1 | 1 | $221.22 |
Similar GKE node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| n4a-highcpu-8 | 8 | 16 | 7.91 | 13.30 GiB | 110 | $189.68 | $14.26 |
| n4d-highcpu-8 | 8 | 16 | 7.91 | 13.30 GiB | 110 | $208.66 | $15.69 |
| c2d-highcpu-8 | 8 | 16 | 7.91 | 13.30 GiB | 110 | $218.89 | $16.45 |
| c3d-highcpu-8 | 8 | 16 | 7.91 | 13.30 GiB | 110 | $218.89 | $16.45 |
| n4-highcpu-8 | 8 | 16 | 7.91 | 13.30 GiB | 110 | $223.50 | $16.80 |
| c3-highcpu-8 | 8 | 16 | 7.91 | 13.30 GiB | 110 | $248.35 | $18.67 |
| c4-highcpu-8 | 8 | 16 | 7.91 | 13.30 GiB | 110 | $248.35 | $18.67 |
| c4n-highcpu-8 | 8 | 16 | 7.91 | 13.30 GiB | 110 | $397.37 | $29.87 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| d8plsv6 | 8 | 16 | 7.82 | 11.90 GiB | 250 | $181.04 | $15.21 |
| c6g.2xlarge | 8 | 16 | 7.91 | 15.03 GiB | 58 | $198.56 | $13.21 |
| d8plsv5 | 8 | 16 | 7.82 | 11.90 GiB | 250 | $198.56 | $16.68 |
| c7g.2xlarge | 8 | 16 | 7.91 | 15.03 GiB | 58 | $211.70 | $14.08 |
| c6a.2xlarge | 8 | 16 | 7.91 | 15.03 GiB | 58 | $223.38 | $14.86 |
| d8pldsv5 | 8 | 16 | 7.82 | 11.90 GiB | 250 | $224.11 | $18.83 |