g3.4xlarge as an EKS node
16 vCPU122 GiBx86_64Intel Xeon E5-2686 v4 (Broadwell)1 GPUAWS us-east-1G3 Graphics GPU Quadruple Extra Large
Where the g3.4xlarge goes
Default EKS setup: EKS, prefix delegation.
CPU15.69 of 16 vCPU left for your pods
Memory120.18 GiB of 122 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
110max pods per node
$832.20on demand / month · $1.14/h
g3.4xlarge EKS max pods and allocatable memory — quick answers
- How many pods can a g3.4xlarge run as a node with EKS, prefix delegation? Up to 110; kubelet keeps 1565 MiB of memory and 110m CPU, leaving 120.47 GiB and 15.89 vCPU for pods.
- How many 500m / 1 GiB pods fit? 31 per node after DaemonSets; 1 nodes for 10 replicas, about $832.20/month on demand.
What kubelet reserves on g3.4xlarge
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| EKS, prefix delegation ENABLE_PREFIX_DELEGATION=true | 110 | 110m | 1465 Mi + 100 Mi | 15.89 | 120.47 GiB | 98.7% |
How these numbers are computed: reservation formulas. How many subnet IPs a g3.4xlarge takes with the VPC CNI: EKS max pods and IP calculator. Check a live node with kubectl describe node → Allocatable.
How many pods fit on one g3.4xlarge
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) | EKS, prefix delegation | $ per pod / month |
|---|---|---|
| 100m / 128 Mi | 107 | $7.78 |
| 250m / 256 Mi | 62 | $13.42 |
| 250m / 512 Mi | 62 | $13.42 |
| 500m / 512 Mi | 31 | $26.85 |
| 500m / 1024 Mi | 31 | $26.85 |
| 1000m / 1024 Mi | 15 | $55.48 |
| 1000m / 2048 Mi | 15 | $55.48 |
| 2000m / 4096 Mi | 7 | $118.89 |
| 4000m / 8192 Mi | 3 | $277.40 |
Similar EKS node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| gr6f.4xlarge | 16 | 128 | 15.89 | 125.14 GiB | 234 | $778.18 | $6.22 |
| gr6.4xlarge | 16 | 128 | 15.89 | 125.14 GiB | 234 | $1,123.62 | $8.98 |
| g6e.4xlarge | 16 | 128 | 15.89 | 125.14 GiB | 234 | $2,193.10 | $17.53 |
| g7e.4xlarge | 16 | 128 | 15.89 | 122.22 GiB | 506 | $2,918.66 | $23.88 |
| g4ad.4xlarge | 16 | 64 | 15.89 | 63.34 GiB | 29 | $632.91 | $9.99 |
| g6f.4xlarge | 16 | 64 | 15.89 | 61.14 GiB | 234 | $693.50 | $11.34 |
| g4dn.4xlarge | 16 | 64 | 15.89 | 63.34 GiB | 29 | $878.92 | $13.88 |
| g6.4xlarge | 16 | 64 | 15.89 | 61.14 GiB | 234 | $965.94 | $15.80 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| a2-ultragpu-1g | 12 | 170 | 11.90 | 159.74 GiB | 110 | $832.72 | $5.21 |
| g2-standard-16 | 16 | 64 | 15.89 | 58.42 GiB | 110 | $428.63 | $7.34 |
| g2-standard-24 | 24 | 96 | 23.87 | 88.50 GiB | 110 | $642.95 | $7.26 |
| a2-highgpu-1g | 12 | 85 | 11.90 | 78.16 GiB | 110 | $539.82 | $6.91 |
| a2-highgpu-2g | 24 | 170 | 23.87 | 159.74 GiB | 110 | $1,079.64 | $6.76 |
| g2-standard-32 | 32 | 128 | 31.85 | 118.58 GiB | 110 | $857.27 | $7.23 |