m2-megamem-416 as a GKE node
416 vCPU5888 GiBx86_64Google Cloud us-central1M2 Mega Memory 416
Where the m2-megamem-416 goes
Default GKE setup: GKE ≤ 1.36.
CPU414.69 of 416 vCPU left for your pods
Memory5,763.09 GiB of 5888 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
110max pods per node
$36,712.67on demand / month · $50.29/h
m2-megamem-416 GKE max pods and allocatable memory — quick answers
- How many pods can a m2-megamem-416 run as a node with GKE ≤ 1.36? Up to 110; kubelet keeps 127608 MiB of memory and 1110m CPU, leaving 5,763.38 GiB and 414.89 vCPU for pods.
- How many pods can a m2-megamem-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 5,885.80 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 $36,712.67/month on demand.
What kubelet reserves on m2-megamem-416
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| GKE ≤ 1.36 tiered memory reservation | 110 | 1110m | 127508 Mi + 100 Mi | 414.89 | 5,763.38 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 | 5,885.80 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-megamem-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 | $343.11 |
| 250m / 256 Mi | 107 | 107 | $343.11 |
| 250m / 512 Mi | 107 | 107 | $343.11 |
| 500m / 512 Mi | 107 | 107 | $343.11 |
| 500m / 1024 Mi | 107 | 107 | $343.11 |
| 1000m / 1024 Mi | 107 | 107 | $343.11 |
| 1000m / 2048 Mi | 107 | 107 | $343.11 |
| 2000m / 4096 Mi | 107 | 107 | $343.11 |
| 4000m / 8192 Mi | 103 | 103 | $356.43 |
Similar GKE node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| m2-hypermem-416 | 416 | 8832 | 414.89 | 8,648.50 GiB | 110 | $49,098.05 | $5.68 |
| 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 |
| m2-ultramem-416 | 416 | 11776 | 414.89 | 11,533.62 GiB | 110 | $61,483.43 | $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 |
|---|---|---|---|---|---|---|---|
| m416s6v3 | 416 | 5700 | 411.74 | 5,694.97 GiB | 250 | $40,370.02 | $7.09 |
| m416ds6v3 | 416 | 5700 | 411.74 | 5,694.97 GiB | 250 | $42,388.52 | $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 |
| x8i.96xlarge | 384 | 6144 | 382.97 | 6,127.39 GiB | 1514 | $35,583.40 | $5.81 |
| x8i.metal-96xl | 384 | 6144 | 382.97 | 6,127.39 GiB | 1514 | $35,583.40 | $5.81 |