diff --git a/2025-eScience/infrastructure/dry-run/config.toml b/2025-eScience/infrastructure/dry-run/config.toml index 6ca7b51..a90109e 100644 --- a/2025-eScience/infrastructure/dry-run/config.toml +++ b/2025-eScience/infrastructure/dry-run/config.toml @@ -39,7 +39,7 @@ use_nginx = true hub_container_image = "jupyterhub/k8s-hub" hub_container_tag = "4.2.0" spawner_container_image = "ghcr.io/llnl/reproducible-benchmarking-spawn" -spawner_container_tag = "escience-2025" +spawner_container_tag = "hpcic-2025" spawner_image_entrypoint = "/entrypoint.sh 32" cpu_min = "32" cpu_max = "32" @@ -47,7 +47,7 @@ mem_min = "64G" mem_max = "64G" provide_extra_shmem = true init_container_image = "ghcr.io/llnl/reproducible-benchmarking-init" -init_container_tag = "escience-2025" +init_container_tag = "hpcic-2025" init_image_entrypoint = "/entrypoint.sh" [aws."utility scripts"] diff --git a/2025-eScience/infrastructure/dry-run/helm-config.yaml b/2025-eScience/infrastructure/dry-run/helm-config.yaml index 987a48c..d445eb3 100644 --- a/2025-eScience/infrastructure/dry-run/helm-config.yaml +++ b/2025-eScience/infrastructure/dry-run/helm-config.yaml @@ -64,7 +64,7 @@ singleuser: # 5) Copy any necessary local scripts or files and ensure proper permissions image: name: ghcr.io/llnl/reproducible-benchmarking-spawn - tag: "escience-2025" + tag: "hpcic-2025" pullPolicy: Always # Specify the minimum (i.e., guarantee) and maximum (i.e., limit) amount of resources per user cpu: @@ -106,7 +106,7 @@ singleuser: # chown -R 1000 /home/jovyan initContainers: - name: init-tutorial-service - image: ghcr.io/llnl/reproducible-benchmarking-init:escience-2025 + image: ghcr.io/llnl/reproducible-benchmarking-init:hpcic-2025 command: ["/entrypoint.sh"] imagePullPolicy: Always storage: diff --git a/2025-eScience/infrastructure/production/config.toml b/2025-eScience/infrastructure/production/config.toml index 7243c94..abf4230 100644 --- a/2025-eScience/infrastructure/production/config.toml +++ b/2025-eScience/infrastructure/production/config.toml @@ -39,7 +39,7 @@ use_nginx = true hub_container_image = "jupyterhub/k8s-hub" hub_container_tag = "4.2.0" spawner_container_image = "ghcr.io/llnl/reproducible-benchmarking-spawn" -spawner_container_tag = "escience-2025" +spawner_container_tag = "hpcic-2025" spawner_image_entrypoint = "/entrypoint.sh 32" cpu_min = "32" cpu_max = "32" @@ -47,7 +47,7 @@ mem_min = "64G" mem_max = "64G" provide_extra_shmem = true init_container_image = "ghcr.io/llnl/reproducible-benchmarking-init" -init_container_tag = "escience-2025" +init_container_tag = "hpcic-2025" init_image_entrypoint = "/entrypoint.sh" [aws."utility scripts"] diff --git a/2025-eScience/infrastructure/production/helm-config.yaml b/2025-eScience/infrastructure/production/helm-config.yaml index 6fecb7a..a373732 100644 --- a/2025-eScience/infrastructure/production/helm-config.yaml +++ b/2025-eScience/infrastructure/production/helm-config.yaml @@ -64,7 +64,7 @@ singleuser: # 5) Copy any necessary local scripts or files and ensure proper permissions image: name: ghcr.io/llnl/reproducible-benchmarking-spawn - tag: "escience-2025" + tag: "hpcic-2025" pullPolicy: Always # Specify the minimum (i.e., guarantee) and maximum (i.e., limit) amount of resources per user cpu: @@ -106,7 +106,7 @@ singleuser: # chown -R 1000 /home/jovyan initContainers: - name: init-tutorial-service - image: ghcr.io/llnl/reproducible-benchmarking-init:escience-2025 + image: ghcr.io/llnl/reproducible-benchmarking-init:hpcic-2025 command: ["/entrypoint.sh"] imagePullPolicy: Always storage: