g3.16xlarge as an EKS node
64 vCPU488 GiBx86_64Intel Xeon E5-2686 v4 (Broadwell)4 GPUAWS us-east-1G3 Graphics GPU 16xlarge Extra Large
Where the g3.16xlarge goes
Default EKS setup: EKS, prefix delegation.
CPU63.57 of 64 vCPU left for your pods
Memory484.67 GiB of 488 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
250max pods per node
$3,328.80on demand / month · $4.56/h
g3.16xlarge EKS max pods and allocatable memory — quick answers
- How many pods can a g3.16xlarge run as a node with EKS, prefix delegation? Up to 250; kubelet keeps 3105 MiB of memory and 230m CPU, leaving 484.97 GiB and 63.77 vCPU for pods.
- How many 500m / 1 GiB pods fit? 127 per node after DaemonSets; 1 nodes for 10 replicas, about $3,328.80/month on demand.
What kubelet reserves on g3.16xlarge
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| EKS, prefix delegation ENABLE_PREFIX_DELEGATION=true | 250 | 230m | 3005 Mi + 100 Mi | 63.77 | 484.97 GiB | 99.4% |
How these numbers are computed: reservation formulas. How many subnet IPs a g3.16xlarge 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 g3.16xlarge
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 | $13.48 |
| 250m / 256 Mi | 247 | $13.48 |
| 250m / 512 Mi | 247 | $13.48 |
| 500m / 512 Mi | 127 | $26.21 |
| 500m / 1024 Mi | 127 | $26.21 |
| 1000m / 1024 Mi | 63 | $52.84 |
| 1000m / 2048 Mi | 63 | $52.84 |
| 2000m / 4096 Mi | 31 | $107.38 |
| 4000m / 8192 Mi | 15 | $221.92 |
Similar EKS node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| p3.16xlarge | 64 | 488 | 63.77 | 485.14 GiB | 234 | $17,870.40 | $36.84 |
| g6e.16xlarge | 64 | 512 | 63.77 | 503.74 GiB | 737 | $5,531.35 | $10.98 |
| g7e.12xlarge | 48 | 512 | 47.81 | 504.86 GiB | 632 | $6,048.84 | $11.98 |
| p2.16xlarge | 64 | 732 | 63.77 | 728.97 GiB | 250 | $10,512.00 | $14.42 |
| g6e.12xlarge | 48 | 384 | 47.81 | 380.52 GiB | 292 | $7,659.63 | $20.13 |
| g6.16xlarge | 64 | 256 | 63.77 | 247.74 GiB | 737 | $2,479.66 | $10.01 |
| g4ad.16xlarge | 64 | 256 | 63.77 | 253.14 GiB | 234 | $2,531.64 | $10.00 |
| g5.16xlarge | 64 | 256 | 63.77 | 253.14 GiB | 234 | $2,990.08 | $11.81 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| a3-highgpu-2g | 52 | 468 | 51.80 | 451.78 GiB | 110 | $1,846.46 | $4.09 |
| a2-ultragpu-4g | 48 | 680 | 47.81 | 659.54 GiB | 110 | $3,330.90 | $5.05 |
| g2-standard-96 | 96 | 384 | 95.69 | 369.46 GiB | 110 | $2,571.80 | $6.96 |
| a2-highgpu-4g | 48 | 340 | 47.81 | 326.34 GiB | 110 | $2,159.27 | $6.62 |
| a2-highgpu-8g | 96 | 680 | 95.69 | 659.54 GiB | 110 | $4,318.55 | $6.55 |
| nc144dsxlrtx6kv6 | 144 | 516 | 142.46 | 510.97 GiB | 250 | $4,657.40 | $9.11 |