Virtual disk information The list of logical networks The VM Network network Storage policy for group of disks vSAN Default Storage Policy storagepolicy group A virtual machine mts-dl-vm-build-350d7fbc-9159-4060-b135-b456159c1951 The kind of installed guest operating system Ubuntu Linux (64-bit) Virtual hardware requirements Virtual Hardware Family 0 mts-dl-vm-build-350d7fbc-9159-4060-b135-b456159c1951 vmx-21 hertz * 10^6 Number of Virtual CPUs 4 virtual CPU(s) 1 3 4 1 byte * 2^20 Memory Size 20480MB of memory 2 4 20480 0 SCSI Controller SCSI controller 0 3 VirtualSCSI 6 1 IDE Controller IDE 1 4 5 0 IDE Controller IDE 0 5 5 false Video card 6 24 false VMCI device 7 vmware.vmci 1 0 false CD/DVD drive 1 8 4 15 0 Hard disk 1 ovf:/disk/vmdisk1 9 3 17 group1 7 true VM Network VmxNet3 ethernet adapter on "VM Network" Network adapter 1 11 VmxNet3 10 false Serial port 1 12 vmware.serialport.device 21 Storage policy group reference Information about the installed software VMware Deep Learning VM Base OS Properties Required. A unique ID for the instance. The hostname for the appliance. This field is optional, but indicates that the instance should 'seed' user-data and meta-data from the given url. If set to 'http://tinyurl.com/sm-' is given, meta-data will be pulled from http://tinyurl.com/sm-meta-data and user-data from http://tinyurl.com/sm-user-data. Leave this empty if you do not want to seed from a url. Optional. If set, the instance will populate the default user's authorized_keys with this value. Base64-encoded text of user data for cloud-init. It typically includes scripts, commands, or metadata that the VM instance uses to configure itself, such as setting up users, installing packages, and initiating DL workloads. Default single login password for the "vmware" user. The user will use this password to login the VM for the first time, and will be guided to change the password for future login. If set to the string "RANDOM", a random password will be generated, and written to the console. vGPU Driver Installation The content of vGPU license file, i.e. "client_configuration_token.tok". Required for the vGPU driver to acquire a license. If set, the instance would download the vGPU driver from NVIDIA Licensing Portal using the provided API key. Either this value or the URL for air-gapped vGPU downloads is required to download the vGPU driver. Optional. If set, the instance would install a vGPU guest driver that matches the specified host driver version. If the NVIDIA Portal API key is not set, the vGPU driver will be downloaded from this URL instead of the NVIDIA Licensing Portal. This URL is useful for air-gapped situations where the VM can not connect to the internet to download the driver. Either this value or the NVIDIA Portal API key must be provided in order to download the vGPU driver. DL Workload Automation The container registry URI. With registry username and password, you can log in to this specified container repository for which you have credentials for later access. Username for logging into the container registry specified by the "Registry URI". Password for logging into the container registry specified by the "Registry URI". The secondary container registry URI. Leave this empty for Docker Hub. Username for logging into the container registry specified by the "Secondary registry URI". Password for logging into the container registry specified by the "Secondary registry URI". A base64-encoded one-line Bash command that will be executed at the VM provision time once the VM boots up with GPU enabled. This value must be base64 encoded in order to fit into an XML attribute. The docker-compose.yaml file that will be inserted into the VM at provision time once the VM boots up with GPU enabled. Fill in this field if you need to have this Docker compose file when you launch the VM. This value must be base64 encoded in order to fit into an XML attribute. The configuration file for multiple container registry login. This value must be base64 encoded in order to fit into an XML attribute. Comma-separated list of Conda environments to be automatically installed post-deployment. Available environments: pytorch2.3_py3.12