diff --git a/doc.zih.tu-dresden.de/docs/jobs_and_resources/hardware_overview.md b/doc.zih.tu-dresden.de/docs/jobs_and_resources/hardware_overview.md
index 22d4d95178e352a6fe8a94991cdef419b6952064..642d3f90922452431bd2ba8c1058c04181e29ed3 100644
--- a/doc.zih.tu-dresden.de/docs/jobs_and_resources/hardware_overview.md
+++ b/doc.zih.tu-dresden.de/docs/jobs_and_resources/hardware_overview.md
@@ -12,10 +12,10 @@ From the users' pespective, there are seperate clusters, all of them with their
 | Name | Description | Year| DNS |
 | --- | --- | --- | --- |
 | **Barnard** | CPU cluster |2023| n[1001-1630].barnard.hpc.tu-dresden.de |
-| **Romeo** | CPU cluster |2020|r[001-192].romeo.hpc.tu-dresden.de |
-| **Alpha Centauri** | GPU cluster |2021|a[001-039].alpha.hpc.tu-dresden.de |
-| **Julia** | single SMP system |2021|julia.hpc.tu-dresden.de |
-| **Power** | IBM Power/GPU system |2018|m[001-032].power.hpc.tu-dresden.de |
+| **Romeo** | CPU cluster |2020|i[8001-8190].romeo.hpc.tu-dresden.de |
+| **Alpha Centauri** | GPU cluster |2021|i[8001-8037].alpha.hpc.tu-dresden.de |
+| **Julia** | single SMP system |2021|smp8.julia.hpc.tu-dresden.de |
+| **Power** | IBM Power/GPU system |2018|ml[1-29].power9.hpc.tu-dresden.de |
 
 They run with their own Slurm batch system. Job submission is possible only from
 their respective login nodes.
@@ -24,12 +24,13 @@ All clusters have access to these shared parallel file systems:
 
 | File system | Usable directory | Type | Capacity | Purpose |
 | --- | --- | --- | --- | --- |
-| `Home` | `/home` | Lustre | 40 TB |
-| `Project` | `/projects` | NFS | 40 TB |
-| `Scratch for large data / streams` | `/data/horse` | Lustre | 20 PB |
-| `Scratch for random access` | `/data/rabbit` | Lustre | 2 PB |
-| `Scratch for random access` | `/data/weasel` | WEKA | 232 TB |
-| `Scratch for random access` | `/data/weasel` | WEKA | 232 TB |
+| Home | `/home` | Lustre | 40 TB |
+| Project | `/projects` | NFS | 40 TB |
+| Scratch for large data / streaming | `/data/horse` | Lustre | 20 PB |
+| Scratch for random access | `/data/rabbit` | Lustre | 2 PB |
+| coming soon | --- | --- | --- | --- |
+| Scratch for random access | `/data/weasel` | WEKA | 232 TB |
+| Scratch for random access | `/data/squirrel` | BeeGFS | xxx TB |
 
 ## Barnard - Intel Sapphire Rapids CPUs
 
@@ -46,7 +47,7 @@ All clusters have access to these shared parallel file systems:
     - 2 x AMD EPYC CPU 7352 (24 cores) @ 2.3 GHz, Multithreading available
     - 1 TB RAM
     - 3.5 TB local memory on NVMe device at `/tmp`
-- Hostnames: `taurusi[8001-8034]`  -> `a[1-37].alpha.hpc.tu-dresden.de`
+- Hostnames: `taurusi[8001-8034]`  -> `i[8001-8037].alpha.hpc.tu-dresden.de`
 - Login nodes: `login[1-2].alpha.hpc.tu-dresden.de`
 - Further information on the usage is documented on the site [Alpha Centauri Nodes](alpha_centauri.md)
 
@@ -56,7 +57,7 @@ All clusters have access to these shared parallel file systems:
     - 2 x AMD EPYC CPU 7702 (64 cores) @ 2.0 GHz, Multithreading available
     - 512 GB RAM
     - 200 GB local memory on SSD at `/tmp`
-- Hostnames: `taurusi[7001-7192]` -> `r[1-190].romeo.hpc.tu-dresden.de`
+- Hostnames: `taurusi[7001-7192]` -> `i[7001-7190].romeo.hpc.tu-dresden.de`
 - Login nodes: `login[1-2].romeo.hpc.tu-dresden.de`
 - Further information on the usage is documented on the site [AMD Rome Nodes](rome_nodes.md)
 
@@ -68,7 +69,7 @@ All clusters have access to these shared parallel file systems:
 - Configured as one single node
 - 48 TB RAM (usable: 47 TB - one TB is used for cache coherence protocols)
 - 370 TB of fast NVME storage available at `/nvme/<projectname>`
-- Hostname: `taurussmp8` -> `julia.hpc.tu-dresden.de`
+- Hostname: `taurussmp8` -> `smp8.julia.hpc.tu-dresden.de`
 - Further information on the usage is documented on the site [HPE Superdome Flex](sd_flex.md)
 
 ## IBM Power9 Nodes for Machine Learning
@@ -80,5 +81,5 @@ For machine learning, we have IBM AC922 nodes installed with this configuration:
     - 256 GB RAM DDR4 2666 MHz
     - 6 x NVIDIA VOLTA V100 with 32 GB HBM2
     - NVLINK bandwidth 150 GB/s between GPUs and host
-- Hostnames: `taurusml[1-32]` -> `p[1-29].ml.hpc.tu-dresden.de`
-- Login nodes: `login[1-2].ml.hpc.tu-dresden.de``
+- Hostnames: `taurusml[1-32]` -> `ml[1-29].power9.hpc.tu-dresden.de`
+- Login nodes: `login[1-2].power9.hpc.tu-dresden.de``
diff --git a/doc.zih.tu-dresden.de/docs/jobs_and_resources/misc/architecture_2023.drawio b/doc.zih.tu-dresden.de/docs/jobs_and_resources/misc/architecture_2023.drawio
index 469854fd24ba935af829e025580e6ca67bddcc5a..3d9415c3b047f8fe9abb689dd7ed2b41187fc105 100644
--- a/doc.zih.tu-dresden.de/docs/jobs_and_resources/misc/architecture_2023.drawio
+++ b/doc.zih.tu-dresden.de/docs/jobs_and_resources/misc/architecture_2023.drawio
@@ -1 +1 @@
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</diagram></mxfile>
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