r9gd.4xlarge as an EKS node
16 vCPU128 GiBarm64AWS Graviton5 ProcessorAWS us-east-1R9GD Quadruple Extra Large
Where the r9gd.4xlarge goes
Default EKS setup: EKS, prefix delegation.
CPU15.69 of 16 vCPU left for your pods
Memory126.18 GiB of 128 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
110max pods per node
$935.45on demand / month · $1.28/h
$397.01spot / month (varies)
r9gd.4xlarge EKS max pods and allocatable memory — quick answers
- How many pods can a r9gd.4xlarge run as a node with EKS, prefix delegation? Up to 110; kubelet keeps 1565 MiB of memory and 110m CPU, leaving 126.47 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 $935.45/month on demand.
What kubelet reserves on r9gd.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 | 126.47 GiB | 98.8% |
How these numbers are computed: reservation formulas. How many subnet IPs a r9gd.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 r9gd.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 | $8.74 |
| 250m / 256 Mi | 62 | $15.09 |
| 250m / 512 Mi | 62 | $15.09 |
| 500m / 512 Mi | 31 | $30.18 |
| 500m / 1024 Mi | 31 | $30.18 |
| 1000m / 1024 Mi | 15 | $62.36 |
| 1000m / 2048 Mi | 15 | $62.36 |
| 2000m / 4096 Mi | 7 | $133.64 |
| 4000m / 8192 Mi | 3 | $311.82 |
Similar EKS node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| r6g.4xlarge | 16 | 128 | 15.89 | 125.14 GiB | 234 | $588.67 | $4.70 |
| r7g.4xlarge | 16 | 128 | 15.89 | 125.14 GiB | 234 | $625.46 | $5.00 |
| r5a.4xlarge | 16 | 128 | 15.89 | 125.14 GiB | 234 | $659.92 | $5.27 |
| r6a.4xlarge | 16 | 128 | 15.89 | 125.14 GiB | 234 | $662.26 | $5.29 |
| r6gd.4xlarge | 16 | 128 | 15.89 | 125.14 GiB | 234 | $672.77 | $5.38 |
| r8g.4xlarge | 16 | 128 | 15.89 | 125.14 GiB | 234 | $688.07 | $5.50 |
| r5.4xlarge | 16 | 128 | 15.89 | 125.14 GiB | 234 | $735.84 | $5.88 |
| r6i.4xlarge | 16 | 128 | 15.89 | 125.14 GiB | 234 | $735.84 | $5.88 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| e2-highmem-16 | 16 | 128 | 15.89 | 118.58 GiB | 110 | $527.93 | $4.45 |
| e16psv6 | 16 | 128 | 15.74 | 122.97 GiB | 250 | $538.74 | $4.38 |
| e16psv5 | 16 | 128 | 15.74 | 122.97 GiB | 250 | $588.38 | $4.78 |
| n4a-highmem-16 | 16 | 128 | 15.89 | 118.58 GiB | 110 | $590.31 | $4.98 |
| n4d-highmem-16 | 16 | 128 | 15.89 | 118.58 GiB | 110 | $649.29 | $5.48 |
| e16asv5 | 16 | 128 | 15.74 | 122.97 GiB | 250 | $659.92 | $5.37 |