m4n-hypermem-16 as a GKE node
16 vCPU248 GiBx86_64Google Cloud us-central1M4N Hypermem 16
Where the m4n-hypermem-16 goes
Default GKE setup: GKE ≤ 1.36.
CPU15.69 of 16 vCPU left for your pods
Memory235.89 GiB of 248 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
110max pods per node
$1,873.52on demand / month · $2.57/h
$749.41spot / month (varies)
m4n-hypermem-16 GKE max pods and allocatable memory — quick answers
- How many pods can a m4n-hypermem-16 run as a node with GKE ≤ 1.36? Up to 110; kubelet keeps 12101 MiB of memory and 110m CPU, leaving 236.18 GiB and 15.89 vCPU for pods.
- How many pods can a m4n-hypermem-16 run as a node with GKE 1.37+ (Container-Optimized OS)? Up to 110; kubelet keeps 2250 MiB of memory and 110m CPU, leaving 245.80 GiB and 15.89 vCPU for pods.
- How many 500m / 1 GiB pods fit? 31 per node after DaemonSets; 1 nodes for 10 replicas, about $1,873.52/month on demand.
What kubelet reserves on m4n-hypermem-16
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| GKE ≤ 1.36 tiered memory reservation | 110 | 110m | 12001 Mi + 100 Mi | 15.89 | 236.18 GiB | 95.2% |
| GKE 1.37+ (Container-Optimized OS) 15 MiB × max pods + 500 MiB, CPU capped at 1 vCPU | 110 | 110m | 2150 Mi + 100 Mi | 15.89 | 245.80 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 m4n-hypermem-16
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 | $17.51 |
| 250m / 256 Mi | 62 | 62 | $30.22 |
| 250m / 512 Mi | 62 | 62 | $30.22 |
| 500m / 512 Mi | 31 | 31 | $60.44 |
| 500m / 1024 Mi | 31 | 31 | $60.44 |
| 1000m / 1024 Mi | 15 | 15 | $124.90 |
| 1000m / 2048 Mi | 15 | 15 | $124.90 |
| 2000m / 4096 Mi | 7 | 7 | $267.65 |
| 4000m / 8192 Mi | 3 | 3 | $624.51 |
Similar GKE node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| m4-hypermem-16 | 16 | 248 | 15.89 | 236.18 GiB | 110 | $1,040.84 | $4.41 |
| c3-highmem-22 | 22 | 176 | 21.88 | 165.62 GiB | 110 | $1,062.43 | $6.41 |
| c3d-highmem-30 | 30 | 240 | 29.86 | 228.34 GiB | 110 | $1,341.05 | $5.87 |
| c3d-highmem-30-lssd | 30 | 240 | 29.86 | 228.34 GiB | 110 | $1,401.05 | $6.14 |
| z3-highmem-22-standardlssd | 22 | 176 | 21.88 | 165.62 GiB | 110 | $2,132.50 | $12.88 |
| z3-highmem-22-highlssd | 22 | 176 | 21.88 | 165.62 GiB | 110 | $2,372.50 | $14.32 |
| e2-highmem-16 | 16 | 128 | 15.89 | 118.58 GiB | 110 | $527.93 | $4.45 |
| n4a-highmem-16 | 16 | 128 | 15.89 | 118.58 GiB | 110 | $590.31 | $4.98 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| f1.4xlarge | 16 | 244 | 15.89 | 241.14 GiB | 234 | $2,409.00 | $9.99 |
| x2gd.4xlarge | 16 | 256 | 15.89 | 253.14 GiB | 234 | $975.28 | $3.85 |
| x8g.4xlarge | 16 | 256 | 15.89 | 253.14 GiB | 234 | $1,141.14 | $4.51 |
| m16sv3 | 16 | 256 | 15.74 | 250.97 GiB | 250 | $1,197.20 | $4.77 |
| x8i.4xlarge | 16 | 256 | 15.89 | 251.42 GiB | 394 | $1,277.97 | $5.08 |
| m16lsv4 | 16 | 256 | 15.74 | 250.97 GiB | 250 | $1,522.22 | $6.07 |