n4d-highmem-8 as a GKE node
8 vCPU64 GiBx86_64Google Cloud us-central1N4D High Memory 8
Where the n4d-highmem-8 goes
Default GKE setup: GKE ≤ 1.36.
CPU7.71 of 8 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
$324.65on demand / month · $0.4447/h
$194.69spot / month (varies)
n4d-highmem-8 GKE max pods and allocatable memory — quick answers
- How many pods can a n4d-highmem-8 run as a node with GKE ≤ 1.36? Up to 110; kubelet keeps 5712 MiB of memory and 90m CPU, leaving 58.42 GiB and 7.91 vCPU for pods.
- How many pods can a n4d-highmem-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 61.80 GiB and 7.91 vCPU for pods.
- How many 500m / 1 GiB pods fit? 15 per node after DaemonSets; 1 nodes for 10 replicas, about $324.65/month on demand.
What kubelet reserves on n4d-highmem-8
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| GKE ≤ 1.36 tiered memory reservation | 110 | 90m | 5612 Mi + 100 Mi | 7.91 | 58.42 GiB | 91.3% |
| 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 | 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 n4d-highmem-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 | $4.22 |
| 250m / 256 Mi | 30 | 30 | $10.82 |
| 250m / 512 Mi | 30 | 30 | $10.82 |
| 500m / 512 Mi | 15 | 15 | $21.64 |
| 500m / 1024 Mi | 15 | 15 | $21.64 |
| 1000m / 1024 Mi | 7 | 7 | $46.38 |
| 1000m / 2048 Mi | 7 | 7 | $46.38 |
| 2000m / 4096 Mi | 3 | 3 | $108.22 |
| 4000m / 8192 Mi | 1 | 1 | $324.65 |
Similar GKE node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| e2-highmem-8 | 8 | 64 | 7.91 | 58.42 GiB | 110 | $263.97 | $4.52 |
| n4a-highmem-8 | 8 | 64 | 7.91 | 58.42 GiB | 110 | $295.15 | $5.05 |
| n2d-highmem-8 | 8 | 64 | 7.91 | 58.42 GiB | 110 | $332.82 | $5.70 |
| c4a-highmem-8 | 8 | 64 | 7.91 | 58.42 GiB | 110 | $344.21 | $5.89 |
| n4-highmem-8 | 8 | 64 | 7.91 | 58.42 GiB | 110 | $347.54 | $5.95 |
| c2d-highmem-8 | 8 | 64 | 7.91 | 58.42 GiB | 110 | $357.61 | $6.12 |
| c3d-highmem-8 | 8 | 64 | 7.91 | 58.42 GiB | 110 | $357.61 | $6.12 |
| n2-highmem-8 | 8 | 64 | 7.91 | 58.42 GiB | 110 | $382.56 | $6.55 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| e8psv6 | 8 | 64 | 7.82 | 58.97 GiB | 250 | $269.37 | $4.57 |
| e8psv5 | 8 | 64 | 7.82 | 58.97 GiB | 250 | $294.19 | $4.99 |
| r6g.2xlarge | 8 | 64 | 7.91 | 63.03 GiB | 58 | $294.34 | $4.67 |
| r7g.2xlarge | 8 | 64 | 7.91 | 63.03 GiB | 58 | $312.73 | $4.96 |
| r5a.2xlarge | 8 | 64 | 7.91 | 63.03 GiB | 58 | $329.96 | $5.23 |
| e8asv5 | 8 | 64 | 7.82 | 58.97 GiB | 250 | $329.96 | $5.60 |