Update OS versions for all clusters

doc.zih.tu-dresden.de/docs/jobs_and_resources/hardware_overview.md

@@ -62,7 +62,7 @@ CPUs.
     - All other nodes are diskless and have no or very limited local storage (i.e. `/tmp`)
 - Login nodes: `login[1-4].barnard.hpc.tu-dresden.de`
 - Hostnames: `n[1001-1630].barnard.hpc.tu-dresden.de`
-- Operating system: Red Hat Enterpise Linux 8.7
+- Operating system: Red Hat Enterpise Linux 8.9
 - Further information on the usage is documented on the site [CPU Cluster Barnard](barnard.md)
 
 ## Alpha Centauri
@@ -77,7 +77,7 @@ and is designed for AI and ML tasks.
     - 3.5 TB local storage on NVMe device at `/tmp`
 - Login nodes: `login[1-2].alpha.hpc.tu-dresden.de`
 - Hostnames: `i[8001-8037].alpha.hpc.tu-dresden.de`
-- Operating system: Rocky Linux 8.7
+- Operating system: Rocky Linux 8.9
 - Further information on the usage is documented on the site [GPU Cluster Alpha Centauri](alpha_centauri.md)
 
 ## Capella
@@ -104,7 +104,7 @@ The cluster `Romeo` is a general purpose cluster by NEC based on AMD Rome CPUs.
     - 200 GB local storage on SSD at `/tmp`
 - Login nodes: `login[1-2].romeo.hpc.tu-dresden.de`
 - Hostnames: `i[7001-7190].romeo.hpc.tu-dresden.de`
-- Operating system: Rocky Linux 8.7
+- Operating system: Rocky Linux 8.9
 - Further information on the usage is documented on the site [CPU Cluster Romeo](romeo.md)
 
 ## Julia
@@ -120,6 +120,7 @@ architecture.
 - 370 TB of fast NVME storage available at `/nvme/<projectname>`
 - Login node: `julia.hpc.tu-dresden.de`
 - Hostname: `julia.hpc.tu-dresden.de`
+- Operating system: Rocky Linux 8.7
 - Further information on the usage is documented on the site [SMP System Julia](julia.md)
 
 ## Power9
@@ -134,4 +135,5 @@ The cluster `Power9` by IBM is based on Power9 CPUs and provides NVIDIA V100 GPU
     - NVLINK bandwidth 150 GB/s between GPUs and host
 - Login nodes: `login[1-2].power9.hpc.tu-dresden.de`
 - Hostnames: `ml[1-29].power9.hpc.tu-dresden.de`
+- Operating system: Alma Linux 8.7
 - Further information on the usage is documented on the site [GPU Cluster Power9](power9.md)