Merge branch 'pr_gpu_mem' into 'preview'

Adds GPU memory to Hardware Overview

See merge request !1175

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

@@ -69,7 +69,7 @@ The cluster `Alpha Centauri` (short: `Alpha`) by NEC provides AMD Rome CPUs and
 and is designed for AI and ML tasks.
 
 - 37 nodes, each with
-    - 8 x NVIDIA A100-SXM4 Tensor Core-GPUs
+    - 8 x NVIDIA A100-SXM4 Tensor Core-GPUs (40 GB HBM2)
     - 2 x AMD EPYC CPU 7352 (24 cores) @ 2.3 GHz, Multithreading available
     - 1 TB RAM (16 x 32 GB DDR4-2933 MT/s per socket)
     - 3.5 TB local storage on NVMe device at `/tmp`
@@ -84,7 +84,7 @@ The cluster `Capella` by MEGWARE provides AMD Genoa CPUs and NVIDIA H100 GPUs
 and is designed for AI and ML tasks.
 
 - 144 nodes, each with
-    - 4 x NVIDIA H100-SXM5 Tensor Core-GPUs
+    - 4 x NVIDIA H100-SXM5 Tensor Core-GPUs (94 GB HBM2e)
     - 2 x AMD EPYC CPU 9334 (32 cores) @ 2.7 GHz, Multithreading disabled
     - 768 GB RAM (12 x 32 GB DDR5-4800 MT/s per socket)
     - 800 GB local storage on NVMe device at `/tmp`
@@ -131,7 +131,7 @@ The cluster `Power9` by IBM is based on Power9 CPUs and provides NVIDIA V100 GPU
 - 32 nodes, each with
     - 2 x IBM Power9 CPU (2.80 GHz, 3.10 GHz boost, 22 cores)
     - 256 GB RAM (8 x 16 GB DDR4-2666 MT/s per socket)
-    - 6 x NVIDIA VOLTA V100 with 32 GB HBM2
+    - 6 x NVIDIA V100-SXM2 GPUs (32 GB HBM2)
     - 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`