m4n-megamem-112 as a GKE node
112 vCPU1488 GiBx86_64Google Cloud us-central1M4N Mega Memory 112
Where the m4n-megamem-112 goes
Default GKE setup: GKE ≤ 1.36.
CPU111.45 of 112 vCPU left for your pods
Memory1,451.09 GiB of 1488 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
110max pods per node
$11,625.40on demand / month · $15.93/h
$4,650.16spot / month (varies)
m4n-megamem-112 GKE max pods and allocatable memory — quick answers
- How many pods can a m4n-megamem-112 run as a node with GKE ≤ 1.36? Up to 110; kubelet keeps 37496 MiB of memory and 350m CPU, leaving 1,451.38 GiB and 111.65 vCPU for pods.
- How many pods can a m4n-megamem-112 run as a node with GKE 1.37+ (Container-Optimized OS)? Up to 110; kubelet keeps 2250 MiB of memory and 350m CPU, leaving 1,485.80 GiB and 111.65 vCPU for pods.
- How many 500m / 1 GiB pods fit? 107 per node after DaemonSets; 1 nodes for 10 replicas, about $11,625.40/month on demand.
What kubelet reserves on m4n-megamem-112
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| GKE ≤ 1.36 tiered memory reservation | 110 | 350m | 37396 Mi + 100 Mi | 111.65 | 1,451.38 GiB | 97.5% |
| GKE 1.37+ (Container-Optimized OS) 15 MiB × max pods + 500 MiB, CPU capped at 1 vCPU | 110 | 350m | 2150 Mi + 100 Mi | 111.65 | 1,485.80 GiB | 99.9% |
How these numbers are computed: reservation formulas. Check a live node with kubectl describe node → Allocatable.
How many pods fit on one m4n-megamem-112
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 | $108.65 |
| 250m / 256 Mi | 107 | 107 | $108.65 |
| 250m / 512 Mi | 107 | 107 | $108.65 |
| 500m / 512 Mi | 107 | 107 | $108.65 |
| 500m / 1024 Mi | 107 | 107 | $108.65 |
| 1000m / 1024 Mi | 107 | 107 | $108.65 |
| 1000m / 2048 Mi | 107 | 107 | $108.65 |
| 2000m / 4096 Mi | 55 | 55 | $211.37 |
| 4000m / 8192 Mi | 27 | 27 | $430.57 |
Similar GKE node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| m4-megamem-112 | 112 | 1488 | 111.65 | 1,451.38 GiB | 110 | $6,458.56 | $4.45 |
| n1-megamem-96 | 96 | 1433.6 | 95.69 | 1,398.07 GiB | 110 | $6,649.44 | $4.76 |
| m1-megamem-96 | 96 | 1433.6 | 95.69 | 1,398.07 GiB | 110 | $7,776.08 | $5.56 |
| m2-ultramem2x-96 | 96 | 1250 | 95.69 | 1,218.14 GiB | 110 | $8,014.56 | $6.58 |
| m3-megamem-128 | 128 | 1952 | 127.61 | 1,906.10 GiB | 110 | $10,519.01 | $5.52 |
| c2d-highmem-112 | 112 | 896 | 111.65 | 871.22 GiB | 110 | $5,006.57 | $5.75 |
| c3-highmem-176 | 176 | 1408 | 175.49 | 1,372.98 GiB | 110 | $8,499.47 | $6.19 |
| z3-highmem-176 | 176 | 1408 | 175.49 | 1,372.98 GiB | 110 | $16,100.01 | $11.73 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| x8g.24xlarge | 96 | 1536 | 95.69 | 1,527.74 GiB | 737 | $6,846.82 | $4.48 |
| x8g.metal-24xl | 96 | 1536 | 95.69 | 1,527.74 GiB | 737 | $6,846.82 | $4.48 |
| x2idn.24xlarge | 96 | 1536 | 95.69 | 1,527.74 GiB | 737 | $7,302.56 | $4.78 |
| x8i.24xlarge | 96 | 1536 | 95.69 | 1,524.80 GiB | 1010 | $7,667.80 | $5.03 |
| m96lsv4 | 96 | 1536 | 94.94 | 1,530.97 GiB | 250 | $9,133.34 | $5.97 |
| m96dlsv4 | 96 | 1536 | 94.94 | 1,530.97 GiB | 250 | $9,590.01 | $6.26 |