Tests were performed from several client styles (Cloud-Cloud FNAL-Cloud MIT-Cloud) to a TRT server deployed on GKE
ailab-inference GKE cluster
Master version: 1.15.9-gke.24
Master zone: us-central1-a
Node zones: us-central1-a, us-central1-f
VPC-native (alias IP):Enabled
Pod address range: 10.24.0.0/14
Default maximum pods per node: 110
Service address range: 10.0.0.0/20
Use
Pool Name
Machine type
OS
GPU model
# GPUs
Instance template
Kubernetes core workloads
cpuonly-pool
n1-standard-4
Container-Optimized OS (cos)
N/a
N/a
gke-ailab-inference-cpuonly-pool-0f0dbec1
ProtoDune
gpu-4-t4-boot
n1-standard-4
Container-Optimized OS (cos)
NVIDIA Tesla T4
4
gke-ailab-inference-gpu-4-t4-boot-14e2482b
CMS
gpu-v100-cos-himem
n1-standard-16
Container-Optimized OS (cos)
NVIDIA Tesla V100
4
gke-ailab-inference-gpu-v100-cos-hime-42b578a6
CMS
gpu-8-v100-cos-himem
n1-standard-16
Container-Optimized OS (cos)
NVIDIA Tesla V100
8
gke-ailab-inference-gpu-8-v100-cos-hi-2a214dda
Node pool
Instance grp (central-1f)
Instance grp (central-1a)
Template
cpuonly-pool
gke-ailab-inference-cpuonly-pool-1615bf50-grp
gke-ailab-inference-cpuonly-pool-43548431-grp
gke-ailab-inference-cpuonly-pool-0f0dbec1
gpu-4-t4-boot
gke-ailab-inference-gpu-4-t4-boot-5e8115ec-grp
gke-ailab-inference-gpu-4-t4-boot-14e2482b-grp
gke-ailab-inference-gpu-4-t4-boot-14e2482b
gpu-8-v100-cos-himem
gke-ailab-inference-gpu-8-v100-cos-hi-f6c70a6f-grp
gke-ailab-inference-gpu-8-v100-cos-hi-2a214dda-grp
gke-ailab-inference-gpu-v100-cos-hime-42b578a6
gpu-v100-cos-himem
gke-ailab-inference-gpu-v100-cos-hime-57e34068-grp
gke-ailab-inference-gpu-v100-cos-hime-42b578a6-grp
gke-ailab-inference-gpu-8-v100-cos-hi-2a214dda
In use by
Public LB IP
GPU type
Ports
ProtoDUNE
34.70.127.245
T4
8000,8001,8002
CMS
35.224.243.148
V100
8000,8001,8002