m2-hypermem-416 as a GKE node
416 vCPU8832 GiBx86_64Google Cloud us-central1M2 Hypermem 416
Where the m2-hypermem-416 goes
Default GKE setup: GKE ≤ 1.36.
CPU414.69 of 416 vCPU left for your pods
Memory8,648.21 GiB of 8832 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
110max pods per node
$49,098.05on demand / month · $67.26/h
m2-hypermem-416 GKE max pods and allocatable memory — quick answers
- How many pods can a m2-hypermem-416 run as a node with GKE ≤ 1.36? Up to 110; kubelet keeps 187902 MiB of memory and 1110m CPU, leaving 8,648.50 GiB and 414.89 vCPU for pods.
- How many pods can a m2-hypermem-416 run as a node with GKE 1.37+ (Container-Optimized OS)? Up to 110; kubelet keeps 2250 MiB of memory and 1000m CPU, leaving 8,829.80 GiB and 415.00 vCPU for pods.
- How many 500m / 1 GiB pods fit? 107 per node after DaemonSets; 1 nodes for 10 replicas, about $49,098.05/month on demand.
What kubelet reserves on m2-hypermem-416
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| GKE ≤ 1.36 tiered memory reservation | 110 | 1110m | 187802 Mi + 100 Mi | 414.89 | 8,648.50 GiB | 97.9% |
| GKE 1.37+ (Container-Optimized OS) 15 MiB × max pods + 500 MiB, CPU capped at 1 vCPU | 110 | 1000m | 2150 Mi + 100 Mi | 415.00 | 8,829.80 GiB | 100.0% |
How these numbers are computed: reservation formulas. Check a live node with kubectl describe node → Allocatable.
How many pods fit on one m2-hypermem-416
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 | $458.86 |
| 250m / 256 Mi | 107 | 107 | $458.86 |
| 250m / 512 Mi | 107 | 107 | $458.86 |
| 500m / 512 Mi | 107 | 107 | $458.86 |
| 500m / 1024 Mi | 107 | 107 | $458.86 |
| 1000m / 1024 Mi | 107 | 107 | $458.86 |
| 1000m / 2048 Mi | 107 | 107 | $458.86 |
| 2000m / 4096 Mi | 107 | 107 | $458.86 |
| 4000m / 8192 Mi | 103 | 103 | $476.68 |
Similar GKE node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| m2-ultramem-416 | 416 | 11776 | 414.89 | 11,533.62 GiB | 110 | $61,483.43 | $5.33 |
| m2-megamem-416 | 416 | 5888 | 414.89 | 5,763.38 GiB | 110 | $36,712.67 | $6.37 |
| m4-ultramem-224 | 224 | 5952 | 223.37 | 5,826.10 GiB | 110 | $30,268.81 | $5.20 |
| m4n-ultramem-224 | 224 | 5952 | 223.37 | 5,826.10 GiB | 110 | $41,121.63 | $7.06 |
| m2-ultramem-208 | 208 | 5888 | 207.41 | 5,763.38 GiB | 110 | $30,741.71 | $5.33 |
| c4d-highmem-384-metal | 384 | 3072 | 382.97 | 3,003.70 GiB | 110 | $17,584.55 | $5.85 |
| c4d-highmem-384 | 384 | 3024 | 382.97 | 2,956.66 GiB | 110 | $17,453.04 | $5.90 |
| c4d-highmem-384-lssd | 384 | 3024 | 382.97 | 2,956.66 GiB | 110 | $19,373.04 | $6.55 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| u7i-8tb.112xlarge | 448 | 8192 | 446.81 | 8,183.74 GiB | 737 | $61,115.60 | $7.47 |
| m416s8v3 | 416 | 7600 | 411.74 | 7,594.97 GiB | 250 | $53,826.70 | $7.09 |
| m416ds8v3 | 416 | 7600 | 411.74 | 7,594.97 GiB | 250 | $56,518.03 | $7.44 |
| u-6tb1.112xlarge | 448 | 6144 | 446.81 | 6,135.74 GiB | 737 | $39,858.00 | $6.50 |
| u7i-6tb.112xlarge | 448 | 6144 | 446.81 | 6,135.74 GiB | 737 | $45,836.70 | $7.47 |
| m416s6v3 | 416 | 5700 | 411.74 | 5,694.97 GiB | 250 | $40,370.02 | $7.09 |