m3-ultramem-32 as a GKE node
32 vCPU976 GiBx86_64Google Cloud us-central1M3 Ultra Memory 32
Where the m3-ultramem-32 goes
Default GKE setup: GKE ≤ 1.36.
CPU31.65 of 32 vCPU left for your pods
Memory949.33 GiB of 976 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
110max pods per node
$4,446.58on demand / month · $6.09/h
$2,281.06spot / month (varies)
m3-ultramem-32 GKE max pods and allocatable memory — quick answers
- How many pods can a m3-ultramem-32 run as a node with GKE ≤ 1.36? Up to 110; kubelet keeps 27011 MiB of memory and 150m CPU, leaving 949.62 GiB and 31.85 vCPU for pods.
- How many pods can a m3-ultramem-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 973.80 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 $4,446.58/month on demand.
What kubelet reserves on m3-ultramem-32
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| GKE ≤ 1.36 tiered memory reservation | 110 | 150m | 26911 Mi + 100 Mi | 31.85 | 949.62 GiB | 97.3% |
| 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 | 973.80 GiB | 99.8% |
How these numbers are computed: reservation formulas. Check a live node with kubectl describe node → Allocatable.
How many pods fit on one m3-ultramem-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 | $41.56 |
| 250m / 256 Mi | 107 | 107 | $41.56 |
| 250m / 512 Mi | 107 | 107 | $41.56 |
| 500m / 512 Mi | 63 | 63 | $70.58 |
| 500m / 1024 Mi | 63 | 63 | $70.58 |
| 1000m / 1024 Mi | 31 | 31 | $143.44 |
| 1000m / 2048 Mi | 31 | 31 | $143.44 |
| 2000m / 4096 Mi | 15 | 15 | $296.44 |
| 4000m / 8192 Mi | 7 | 7 | $635.23 |
Similar GKE node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| n1-ultramem-40 | 40 | 961 | 39.83 | 934.92 GiB | 110 | $3,895.42 | $4.17 |
| m1-ultramem-40 | 40 | 961 | 39.83 | 934.92 GiB | 110 | $4,593.96 | $4.91 |
| m4-hypermem-32 | 32 | 496 | 31.85 | 479.22 GiB | 110 | $2,081.69 | $4.34 |
| m4n-hypermem-32 | 32 | 496 | 31.85 | 479.22 GiB | 110 | $3,747.04 | $7.82 |
| m3-megamem-64 | 64 | 976 | 63.77 | 949.62 GiB | 110 | $5,259.50 | $5.54 |
| m4-hypermem-64 | 64 | 992 | 63.77 | 965.30 GiB | 110 | $4,163.38 | $4.31 |
| m4n-hypermem-64 | 64 | 992 | 63.77 | 965.30 GiB | 110 | $7,494.08 | $7.76 |
| m4-megamem-56 | 56 | 744 | 55.79 | 722.26 GiB | 110 | $3,229.28 | $4.47 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| x1e.8xlarge | 32 | 976 | 31.85 | 975.03 GiB | 58 | $4,870.56 | $5.00 |
| x2iedn.8xlarge | 32 | 1024 | 31.85 | 1,021.14 GiB | 234 | $4,868.37 | $4.77 |
| x2iezn.8xlarge | 32 | 1024 | 31.85 | 1,021.14 GiB | 234 | $4,870.56 | $4.77 |
| nv36admsv5 | 36 | 880 | 35.54 | 874.97 GiB | 250 | $3,299.60 | $3.77 |
| m48s1v3 | 48 | 974 | 47.42 | 968.97 GiB | 250 | $4,547.90 | $4.69 |
| m48ds1v3 | 48 | 974 | 47.42 | 968.97 GiB | 250 | $4,832.60 | $4.99 |