a2-highgpu-4g as a GKE node
48 vCPU340 GiBx86_644 GPUGoogle Cloud us-central1A2 Highgpu 4g
Where the a2-highgpu-4g goes
Default GKE setup: GKE ≤ 1.36.
CPU47.61 of 48 vCPU left for your pods
Memory326.05 GiB of 340 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
110max pods per node
$2,159.27on demand / month · $2.96/h
$1,295.63spot / month (varies)
a2-highgpu-4g GKE max pods and allocatable memory — quick answers
- How many pods can a a2-highgpu-4g run as a node with GKE ≤ 1.36? Up to 110; kubelet keeps 13985 MiB of memory and 190m CPU, leaving 326.34 GiB and 47.81 vCPU for pods.
- How many pods can a a2-highgpu-4g run as a node with GKE 1.37+ (Container-Optimized OS)? Up to 110; kubelet keeps 2250 MiB of memory and 190m CPU, leaving 337.80 GiB and 47.81 vCPU for pods.
- How many 500m / 1 GiB pods fit? 95 per node after DaemonSets; 1 nodes for 10 replicas, about $2,159.27/month on demand.
What kubelet reserves on a2-highgpu-4g
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| GKE ≤ 1.36 tiered memory reservation | 110 | 190m | 13885 Mi + 100 Mi | 47.81 | 326.34 GiB | 96.0% |
| GKE 1.37+ (Container-Optimized OS) 15 MiB × max pods + 500 MiB, CPU capped at 1 vCPU | 110 | 190m | 2150 Mi + 100 Mi | 47.81 | 337.80 GiB | 99.4% |
How these numbers are computed: reservation formulas. Check a live node with kubectl describe node → Allocatable.
How many pods fit on one a2-highgpu-4g
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) | GKE ≤ 1.36 | GKE 1.37+ (Container-Optimized OS) | $ per pod / month |
|---|---|---|---|
| 100m / 128 Mi | 107 | 107 | $20.18 |
| 250m / 256 Mi | 107 | 107 | $20.18 |
| 250m / 512 Mi | 107 | 107 | $20.18 |
| 500m / 512 Mi | 95 | 95 | $22.73 |
| 500m / 1024 Mi | 95 | 95 | $22.73 |
| 1000m / 1024 Mi | 47 | 47 | $45.94 |
| 1000m / 2048 Mi | 47 | 47 | $45.94 |
| 2000m / 4096 Mi | 23 | 23 | $93.88 |
| 4000m / 8192 Mi | 11 | 11 | $196.30 |
Similar GKE node types
| 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 |
| g2-standard-48 | 48 | 192 | 47.81 | 181.30 GiB | 110 | $1,285.90 | $7.09 |
| a2-ultragpu-2g | 24 | 340 | 23.87 | 326.34 GiB | 110 | $1,665.45 | $5.10 |
| 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 |
| a3-highgpu-1g | 26 | 234 | 25.86 | 222.46 GiB | 110 | $923.23 | $4.15 |
| g2-standard-32 | 32 | 128 | 31.85 | 118.58 GiB | 110 | $857.27 | $7.23 |
| a2-highgpu-2g | 24 | 170 | 23.87 | 159.74 GiB | 110 | $1,079.64 | $6.76 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| g6e.12xlarge | 48 | 384 | 47.81 | 380.52 GiB | 292 | $7,659.63 | $20.13 |
| g7e.12xlarge | 48 | 512 | 47.81 | 504.86 GiB | 632 | $6,048.84 | $11.98 |
| 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 |
| g4dn.12xlarge | 48 | 192 | 47.81 | 189.14 GiB | 234 | $2,855.76 | $15.10 |
| g5.16xlarge | 64 | 256 | 63.77 | 253.14 GiB | 234 | $2,990.08 | $11.81 |