To Reproduce Steps to reproduce the behavior:

1. Boot from ISO a BM or VM
2. Configure root user, user, network, gw, dns and hostname
3. Install system
4. After the installation the network is down and not configured the hostname
5. while investigating the NetworkManager service there  were error messages related to dbus:

6. Dec 05 11:26:39 localhost NetworkManager[5287]: <info>  [1733397999.2333] NetworkManager (version 1.46.0-20.el9_4) is starting... (after a restart, boot:d7f8>
   Dec 05 11:26:39 localhost NetworkManager[5287]: <info>  [1733397999.2333] Read config: /etc/NetworkManager/NetworkManager.conf
   Dec 05 11:26:39 localhost NetworkManager[5287]: <error> [1733397999.2336] bus-manager: cannot connect to D-Bus: Could not connect: No such file or directory
   Dec 05 11:26:39 localhost NetworkManager[5287]: <info>  [1733397999.2336] exiting (error)
   Dec 05 11:26:39 localhost systemd[1]: NetworkManager.service: Main process exited, code=exited, status=1/FAILURE

Also rhc tool was affected by this problem:

ERROR  rhsm  cannot connect to Red Hat Subscription Management: dial unix /var/run/dbus/system_bus_socket: connect: no such file or directory

Expected behavior

• <your text here>

Screenshots

• Attached Image 

Device Info (please complete the following information):

• Hardware Specs: [e.g. Apple M2 Pro Chip, 16 GB Memory, etc.]
• OS Version: [e.g. Mac OS 14.4.1, Fedora Linux 40]
• InstructLab Version: [output of \\\{{{}ilab --version{}}}]
• Provide the output of these two commands:
  • sudo bootc status --format json | jq .status.booted.image.image.image 

  • [root@localhost ~]# bootc status --format json | jq .status.booted.image.image.image
    "registry.redhat.io/rhelai1/bootc-intel-rhel9:1.3-1733319681"

• • ilab system info to print detailed information about InstructLab version, OS, and hardware - including GPU / AI accelerator hardware
  •  

    [root@localhost ~]# ilab system info
    /usr/lib64/python3.11/inspect.py:389: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead
      return isinstance(object, types.FunctionType)
    ============================= HABANA PT BRIDGE CONFIGURATION =========================== 
     PT_HPU_LAZY_MODE = 1
     PT_RECIPE_CACHE_PATH = 
     PT_CACHE_FOLDER_DELETE = 0
     PT_HPU_RECIPE_CACHE_CONFIG = 
     PT_HPU_MAX_COMPOUND_OP_SIZE = 9223372036854775807
     PT_HPU_LAZY_ACC_PAR_MODE = 1
     PT_HPU_ENABLE_REFINE_DYNAMIC_SHAPES = 0
     PT_HPU_EAGER_PIPELINE_ENABLE = 1
     PT_HPU_EAGER_COLLECTIVE_PIPELINE_ENABLE = 1
    ---------------------------: System Configuration :---------------------------
    Num CPU Cores : 288
    CPU RAM       : -1919526024 KB
    ------------------------------------------------------------------------------
    Platform:
      sys.version: 3.11.7 (main, Oct  9 2024, 00:00:00) [GCC 11.4.1 20231218 (Red Hat 11.4.1-3)]
      sys.platform: linux
      os.name: posix
      platform.release: 5.14.0-427.42.1.el9_4.x86_64
      platform.machine: x86_64
      platform.node: localhost
      platform.python_version: 3.11.7
      os-release.ID: rhel
      os-release.VERSION_ID: 9.4
      os-release.PRETTY_NAME: Red Hat Enterprise Linux 9.4 (Plow)
      memory.total: 2265.40 GB
      memory.available: 2246.60 GB
      memory.used: 10.00 GB
    InstructLab:
      instructlab.version: 0.21.0
      instructlab-dolomite.version: 0.2.0
      instructlab-eval.version: 0.4.1
      instructlab-quantize.version: 0.1.0
      instructlab-schema.version: 0.4.1
      instructlab-sdg.version: 0.6.1
      instructlab-training.version: 0.6.1
    Torch:
      torch.version: 2.4.0a0+git74cd574
      torch.backends.cpu.capability: AVX512
      torch.version.cuda: None
      torch.version.hip: None
      torch.cuda.available: False
      torch.backends.cuda.is_built: False
      torch.backends.mps.is_built: False
      torch.backends.mps.is_available: False
      habana_torch_plugin.version: 1.18.0.524
      torch.hpu.is_available: True
      torch.hpu.device_count: 8
      torch.hpu.0.name: GAUDI3
      torch.hpu.0.capability: 1.18.0.1b7f293
      torch.hpu.0.properties: sramBaseAddress=144396662951903232, dramBaseAddress=144396800491520000, sramSize=0, dramSize=136465870848, tpcEnabledMask=18446744073709551615, dramEnabled=1, fd=18, device_id=0, device_type=5
      torch.hpu.1.name: GAUDI3
      torch.hpu.1.capability: 1.18.0.1b7f293
      torch.hpu.1.properties: sramBaseAddress=144396662951903232, dramBaseAddress=144396800491520000, sramSize=0, dramSize=136465870848, tpcEnabledMask=18446744073709551615, dramEnabled=1, fd=18, device_id=0, device_type=5
      torch.hpu.2.name: GAUDI3
      torch.hpu.2.capability: 1.18.0.1b7f293
      torch.hpu.2.properties: sramBaseAddress=144396662951903232, dramBaseAddress=144396800491520000, sramSize=0, dramSize=136465870848, tpcEnabledMask=18446744073709551615, dramEnabled=1, fd=18, device_id=0, device_type=5
      torch.hpu.3.name: GAUDI3
      torch.hpu.3.capability: 1.18.0.1b7f293
      torch.hpu.3.properties: sramBaseAddress=144396662951903232, dramBaseAddress=144396800491520000, sramSize=0, dramSize=136465870848, tpcEnabledMask=18446744073709551615, dramEnabled=1, fd=18, device_id=0, device_type=5
      torch.hpu.4.name: GAUDI3
      torch.hpu.4.capability: 1.18.0.1b7f293
      torch.hpu.4.properties: sramBaseAddress=144396662951903232, dramBaseAddress=144396800491520000, sramSize=0, dramSize=136465870848, tpcEnabledMask=18446744073709551615, dramEnabled=1, fd=18, device_id=0, device_type=5
      torch.hpu.5.name: GAUDI3
      torch.hpu.5.capability: 1.18.0.1b7f293
      torch.hpu.5.properties: sramBaseAddress=144396662951903232, dramBaseAddress=144396800491520000, sramSize=0, dramSize=136465870848, tpcEnabledMask=18446744073709551615, dramEnabled=1, fd=18, device_id=0, device_type=5
      torch.hpu.6.name: GAUDI3
      torch.hpu.6.capability: 1.18.0.1b7f293
      torch.hpu.6.properties: sramBaseAddress=144396662951903232, dramBaseAddress=144396800491520000, sramSize=0, dramSize=136465870848, tpcEnabledMask=18446744073709551615, dramEnabled=1, fd=18, device_id=0, device_type=5
      torch.hpu.7.name: GAUDI3
      torch.hpu.7.capability: 1.18.0.1b7f293
      torch.hpu.7.properties: sramBaseAddress=144396662951903232, dramBaseAddress=144396800491520000, sramSize=0, dramSize=136465870848, tpcEnabledMask=18446744073709551615, dramEnabled=1, fd=18, device_id=0, device_type=5
      env.HABANA_LOGS: /var/log/habana_logs/
      env.HABANA_PLUGINS_LIB_PATH: /opt/habanalabs/habana_plugins
      env.HABANA_PROFILE: profile_api_light
      env.HABANA_SCAL_BIN_PATH: /opt/habanalabs/engines_fw
    llama_cpp_python:
      llama_cpp_python.version: 0.2.79
      llama_cpp_python.supports_gpu_offload: False
    [root@localhost ~]# 
    

     

Additional context

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