m4n-hypermem-32 as a GKE node
32 vCPU496 GiBx86_64Google Cloud us-central1M4N Hypermem 32
Where the m4n-hypermem-32 goes
Default GKE setup: GKE ≤ 1.36.
CPU31.65 of 32 vCPU left for your pods
Memory478.93 GiB of 496 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
110max pods per node
$3,747.04on demand / month · $5.13/h
$1,498.81spot / month (varies)
m4n-hypermem-32 GKE max pods and allocatable memory — quick answers
- How many pods can a m4n-hypermem-32 run as a node with GKE ≤ 1.36? Up to 110; kubelet keeps 17180 MiB of memory and 150m CPU, leaving 479.22 GiB and 31.85 vCPU for pods.
- How many pods can a m4n-hypermem-32 run as a node with GKE 1.37+ (Container-Optimized OS)? Up to 110; kubelet keeps 2250 MiB of memory and 150m CPU, leaving 493.80 GiB and 31.85 vCPU for pods.
- How many 500m / 1 GiB pods fit? 63 per node after DaemonSets; 1 nodes for 10 replicas, about $3,747.04/month on demand.
What kubelet reserves on m4n-hypermem-32
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| GKE ≤ 1.36 tiered memory reservation | 110 | 150m | 17080 Mi + 100 Mi | 31.85 | 479.22 GiB | 96.6% |
| GKE 1.37+ (Container-Optimized OS) 15 MiB × max pods + 500 MiB, CPU capped at 1 vCPU | 110 | 150m | 2150 Mi + 100 Mi | 31.85 | 493.80 GiB | 99.6% |
How these numbers are computed: reservation formulas. Check a live node with kubectl describe node → Allocatable.
How many pods fit on one m4n-hypermem-32
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 | $35.02 |
| 250m / 256 Mi | 107 | 107 | $35.02 |
| 250m / 512 Mi | 107 | 107 | $35.02 |
| 500m / 512 Mi | 63 | 63 | $59.48 |
| 500m / 1024 Mi | 63 | 63 | $59.48 |
| 1000m / 1024 Mi | 31 | 31 | $120.87 |
| 1000m / 2048 Mi | 31 | 31 | $120.87 |
| 2000m / 4096 Mi | 15 | 15 | $249.80 |
| 4000m / 8192 Mi | 7 | 7 | $535.29 |
Similar GKE node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| m4-hypermem-32 | 32 | 496 | 31.85 | 479.22 GiB | 110 | $2,081.69 | $4.34 |
| m4-megamem-28 | 28 | 372 | 27.86 | 357.70 GiB | 110 | $1,614.64 | $4.51 |
| m4n-megamem-28 | 28 | 372 | 27.86 | 357.70 GiB | 110 | $2,906.35 | $8.13 |
| c3-highmem-44 | 44 | 352 | 43.82 | 338.10 GiB | 110 | $2,124.87 | $6.28 |
| c3d-highmem-60 | 60 | 480 | 59.78 | 463.54 GiB | 110 | $2,682.09 | $5.79 |
| c3d-highmem-60-lssd | 60 | 480 | 59.78 | 463.54 GiB | 110 | $2,802.09 | $6.04 |
| z3-highmem-44-standardlssd | 44 | 352 | 43.82 | 338.10 GiB | 110 | $4,025.00 | $11.90 |
| z3-highmem-44-highlssd | 44 | 352 | 43.82 | 338.10 GiB | 110 | $4,745.00 | $14.03 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| x2gd.8xlarge | 32 | 512 | 31.85 | 509.14 GiB | 234 | $1,950.56 | $3.83 |
| m32tsv3 | 32 | 512 | 31.58 | 506.97 GiB | 250 | $2,241.10 | $4.42 |
| x8g.8xlarge | 32 | 512 | 31.85 | 509.14 GiB | 234 | $2,282.27 | $4.48 |
| x8i.8xlarge | 32 | 512 | 31.85 | 506.37 GiB | 492 | $2,555.93 | $5.05 |
| m32lsv4 | 32 | 480 | 31.58 | 474.97 GiB | 250 | $2,854.17 | $6.01 |
| m32dlsv4 | 32 | 480 | 31.58 | 474.97 GiB | 250 | $2,996.87 | $6.31 |