r9gd.16xlarge as an EKS node
64 vCPU512 GiBarm64AWS Graviton5 ProcessorAWS us-east-1R9GD 16xlarge Extra Large
Where the r9gd.16xlarge goes
Default EKS setup: EKS, prefix delegation.
CPU63.57 of 64 vCPU left for your pods
Memory508.67 GiB of 512 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
250max pods per node
$3,741.80on demand / month · $5.13/h
$1,135.33spot / month (varies)
r9gd.16xlarge EKS max pods and allocatable memory — quick answers
- How many pods can a r9gd.16xlarge run as a node with EKS, prefix delegation? Up to 250; kubelet keeps 3105 MiB of memory and 230m CPU, leaving 508.97 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 $3,741.80/month on demand.
What kubelet reserves on r9gd.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 | 508.97 GiB | 99.4% |
How these numbers are computed: reservation formulas. How many subnet IPs a r9gd.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 r9gd.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 | $15.15 |
| 250m / 256 Mi | 247 | $15.15 |
| 250m / 512 Mi | 247 | $15.15 |
| 500m / 512 Mi | 127 | $29.46 |
| 500m / 1024 Mi | 127 | $29.46 |
| 1000m / 1024 Mi | 63 | $59.39 |
| 1000m / 2048 Mi | 63 | $59.39 |
| 2000m / 4096 Mi | 31 | $120.70 |
| 4000m / 8192 Mi | 15 | $249.45 |
Similar EKS node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| r6g.16xlarge | 64 | 512 | 63.77 | 503.74 GiB | 737 | $2,354.69 | $4.67 |
| r6g.metal | 64 | 512 | 63.77 | 503.74 GiB | 737 | $2,354.69 | $4.67 |
| r7g.16xlarge | 64 | 512 | 63.77 | 503.74 GiB | 737 | $2,501.86 | $4.97 |
| r7g.metal | 64 | 512 | 63.77 | 503.74 GiB | 737 | $2,501.86 | $4.97 |
| r5a.16xlarge | 64 | 512 | 63.77 | 503.74 GiB | 737 | $2,639.68 | $5.24 |
| r6a.16xlarge | 64 | 512 | 63.77 | 503.74 GiB | 737 | $2,649.02 | $5.26 |
| r6gd.16xlarge | 64 | 512 | 63.77 | 503.74 GiB | 737 | $2,691.07 | $5.34 |
| r6gd.metal | 64 | 512 | 63.77 | 503.74 GiB | 737 | $2,691.07 | $5.34 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| e64psv6 | 64 | 512 | 63.26 | 506.97 GiB | 250 | $2,153.50 | $4.25 |
| n4a-highmem-64 | 64 | 512 | 63.77 | 494.90 GiB | 110 | $2,361.23 | $4.77 |
| n4d-highmem-64 | 64 | 512 | 63.77 | 494.90 GiB | 110 | $2,597.16 | $5.25 |
| e64asv5 | 64 | 512 | 63.26 | 506.97 GiB | 250 | $2,639.68 | $5.21 |
| ec64asv5 | 64 | 512 | 63.26 | 506.97 GiB | 250 | $2,639.68 | $5.21 |
| n2d-highmem-64 | 64 | 512 | 63.77 | 494.90 GiB | 110 | $2,662.57 | $5.38 |