From bc5ec9e4abd0f3817631a10e6ad28007f5edf92d Mon Sep 17 00:00:00 2001 From: Tim Kreuzer Date: Thu, 10 Oct 2024 10:09:37 +0200 Subject: [PATCH] add total + burst_total numbers --- data/jupyter-jsc.fz-juelich.de.yaml | 6 ++++++ data/jupyter4nfdi.yaml | 2 +- 2 files changed, 7 insertions(+), 1 deletion(-) diff --git a/data/jupyter-jsc.fz-juelich.de.yaml b/data/jupyter-jsc.fz-juelich.de.yaml index ea3071f..d17087b 100644 --- a/data/jupyter-jsc.fz-juelich.de.yaml +++ b/data/jupyter-jsc.fz-juelich.de.yaml @@ -32,12 +32,18 @@ resources: max_server_user: 100 default_cpu: 2 max_cpu: 1024 + total_cpu: 9190 + burst_total_cpu: 9257 default_cpu_time: 30 min max_cpu_time: 24 h default_memory: 96 GB max_memory: 768 GB + total_memory: 1290384 GB + burst_total_memory: 1304208 GB default_gpu: 0 max_gpu: 4 + total_gpu: 4880 + burst_total_gpu: 4908 default_disk: 10 GB max_disk: default_persistent_disk: diff --git a/data/jupyter4nfdi.yaml b/data/jupyter4nfdi.yaml index 2bfbab0..41c392a 100644 --- a/data/jupyter4nfdi.yaml +++ b/data/jupyter4nfdi.yaml @@ -74,7 +74,7 @@ resources: # Information about available resources on the instance # Guarantied total amount of memory for the whole Jupyterhub instance total_memory: 192 GB # Scaled total amount of memory for the whole JupyterHub instance. Normally not exclusive, depends on other factors. - burst_total_memory: 384 GB + burst_total_memory: 512 GB # Default number of GPU for a Jupyter server default_gpu: 0 # Maximum number of GPU for a Jupyter server