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Introduction

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

GKE Node pools

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

GCE Instance Groups

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

Public endpoints

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

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