p2.16xlarge as an EKS node
64 vCPU732 GiBx86_64Intel Xeon E5-2686 v4 (Broadwell)16 GPUAWS us-east-1P2 General Purpose GPU 16xlarge Extra Large
Where the p2.16xlarge goes
Default EKS setup: EKS, prefix delegation.
CPU63.57 of 64 vCPU left for your pods
Memory728.67 GiB of 732 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
250max pods per node
$10,512.00on demand / month · $14.40/h
p2.16xlarge EKS max pods and allocatable memory — quick answers
- How many pods can a p2.16xlarge run as a node with EKS, prefix delegation? Up to 250; kubelet keeps 3105 MiB of memory and 230m CPU, leaving 728.97 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 $10,512.00/month on demand.
What kubelet reserves on p2.16xlarge
| 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 | 728.97 GiB | 99.6% |
How these numbers are computed: reservation formulas. How many subnet IPs a p2.16xlarge 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 p2.16xlarge
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 | $42.56 |
| 250m / 256 Mi | 247 | $42.56 |
| 250m / 512 Mi | 247 | $42.56 |
| 500m / 512 Mi | 127 | $82.77 |
| 500m / 1024 Mi | 127 | $82.77 |
| 1000m / 1024 Mi | 63 | $166.86 |
| 1000m / 2048 Mi | 63 | $166.86 |
| 2000m / 4096 Mi | 31 | $339.10 |
| 4000m / 8192 Mi | 15 | $700.80 |
Similar EKS node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| g6e.16xlarge | 64 | 512 | 63.77 | 503.74 GiB | 737 | $5,531.35 | $10.98 |
| g3.16xlarge | 64 | 488 | 63.77 | 484.97 GiB | 250 | $3,328.80 | $6.86 |
| p3.16xlarge | 64 | 488 | 63.77 | 485.14 GiB | 234 | $17,870.40 | $36.84 |
| g6e.24xlarge | 96 | 768 | 95.69 | 762.37 GiB | 492 | $10,997.88 | $14.43 |
| p3dn.24xlarge | 96 | 768 | 95.69 | 759.74 GiB | 737 | $22,784.76 | $29.99 |
| g7e.12xlarge | 48 | 512 | 47.81 | 504.86 GiB | 632 | $6,048.84 | $11.98 |
| g7e.24xlarge | 96 | 1024 | 95.69 | 1,016.86 GiB | 632 | $12,097.68 | $11.90 |
| p4d.24xlarge | 96 | 1152 | 95.69 | 1,143.74 GiB | 737 | $16,029.08 | $14.01 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| a2-ultragpu-4g | 48 | 680 | 47.81 | 659.54 GiB | 110 | $3,330.90 | $5.05 |
| a2-highgpu-8g | 96 | 680 | 95.69 | 659.54 GiB | 110 | $4,318.55 | $6.55 |
| a3-highgpu-2g | 52 | 468 | 51.80 | 451.78 GiB | 110 | $1,846.46 | $4.09 |
| a3-highgpu-4g | 104 | 936 | 103.67 | 910.42 GiB | 110 | $3,692.92 | $4.06 |
| a2-megagpu-16g | 96 | 1360 | 95.69 | 1,325.94 GiB | 110 | $6,421.79 | $4.84 |
| a2-ultragpu-8g | 96 | 1360 | 95.69 | 1,325.94 GiB | 110 | $6,661.79 | $5.02 |