g3.8xlarge as an EKS node
32 vCPU244 GiBx86_64Intel Xeon E5-2686 v4 (Broadwell)2 GPUAWS us-east-1G3 Graphics GPU Eight Extra Large
Where the g3.8xlarge goes
Default EKS setup: EKS, prefix delegation.
CPU31.65 of 32 vCPU left for your pods
Memory240.67 GiB of 244 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
250max pods per node
$1,664.40on demand / month · $2.28/h
g3.8xlarge EKS max pods and allocatable memory — quick answers
- How many pods can a g3.8xlarge run as a node with EKS, prefix delegation? Up to 250; kubelet keeps 3105 MiB of memory and 150m CPU, leaving 240.97 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 $1,664.40/month on demand.
What kubelet reserves on g3.8xlarge
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| EKS, prefix delegation ENABLE_PREFIX_DELEGATION=true | 250 | 150m | 3005 Mi + 100 Mi | 31.85 | 240.97 GiB | 98.8% |
How these numbers are computed: reservation formulas. How many subnet IPs a g3.8xlarge 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 g3.8xlarge
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 | 247 | $6.74 |
| 250m / 256 Mi | 126 | $13.21 |
| 250m / 512 Mi | 126 | $13.21 |
| 500m / 512 Mi | 63 | $26.42 |
| 500m / 1024 Mi | 63 | $26.42 |
| 1000m / 1024 Mi | 31 | $53.69 |
| 1000m / 2048 Mi | 31 | $53.69 |
| 2000m / 4096 Mi | 15 | $110.96 |
| 4000m / 8192 Mi | 7 | $237.77 |
Similar EKS node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| p3.8xlarge | 32 | 244 | 31.85 | 241.14 GiB | 234 | $8,935.20 | $37.05 |
| gr6.8xlarge | 32 | 256 | 31.85 | 253.14 GiB | 234 | $1,785.87 | $7.05 |
| g6e.8xlarge | 32 | 256 | 31.85 | 253.14 GiB | 234 | $3,305.85 | $13.06 |
| g7e.8xlarge | 32 | 256 | 31.85 | 250.22 GiB | 506 | $3,845.82 | $15.37 |
| g4ad.8xlarge | 32 | 128 | 31.85 | 127.03 GiB | 58 | $1,265.82 | $9.96 |
| g6.8xlarge | 32 | 128 | 31.85 | 125.14 GiB | 234 | $1,470.51 | $11.75 |
| g4dn.8xlarge | 32 | 128 | 31.85 | 127.03 GiB | 58 | $1,588.48 | $12.50 |
| g5.8xlarge | 32 | 128 | 31.85 | 125.14 GiB | 234 | $1,787.04 | $14.28 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| a3-highgpu-1g | 26 | 234 | 25.86 | 222.46 GiB | 110 | $923.23 | $4.15 |
| a2-ultragpu-2g | 24 | 340 | 23.87 | 326.34 GiB | 110 | $1,665.45 | $5.10 |
| g2-standard-32 | 32 | 128 | 31.85 | 118.58 GiB | 110 | $857.27 | $7.23 |
| g2-standard-48 | 48 | 192 | 47.81 | 181.30 GiB | 110 | $1,285.90 | $7.09 |
| a2-highgpu-2g | 24 | 170 | 23.87 | 159.74 GiB | 110 | $1,079.64 | $6.76 |
| a2-highgpu-4g | 48 | 340 | 47.81 | 326.34 GiB | 110 | $2,159.27 | $6.62 |