AI News, Provision a Deep Learning Virtual Machine on Azure

Provision a Deep Learning Virtual Machine on Azure

The Deep Learning Virtual Machine (DLVM) is a specially configured variant of the popular Data Science Virtual Machine (DSVM) to make it easier to use GPU-based VM instances for rapidly training deep learning models.

tools to acquire and pre-process image, textual data, tools for data science modeling and development activities such as Microsoft R Server Developer Edition, Anaconda Python, Jupyter notebooks for Python and R, IDEs for Python and R, SQL databases and many other data science and ML tools.

To connect to the Linux VM graphical desktop, complete the following procedure on your client: After you sign in to the VM by using either the SSH client or XFCE graphical desktop through the X2Go client, you are ready to start using the tools that are installed and configured on the VM.

Install and configure Remote Desktop to connect to a Linux VM in Azure

Linux virtual machines (VMs) in Azure are usually managed from the command line using a secure shell (SSH) connection.

Depending on your choice of desktop environment, it may consume one to 2 GB of disk space, and take 5 to 10 minutes to install and configure all the required packages.

Configure xrdp to use xfce as your desktop environment as follows: Restart the xrdp service for the changes to take effect as follows: If you created a password for your user account when you created your VM, skip this step.

The following example specifies a password for the user account azureuser: To allow Remote Desktop traffic to reach your Linux VM, a network security group rule needs to be created that allows TCP on port 3389 to reach your VM.

If you cannot connect to your Linux VM using a Remote Desktop client, use netstat on your Linux VM to verify that your VM is listening for RDP connections as follows: The following example shows the VM listening on TCP port 3389 as expected: If the xrdp-sesman service is not listening, on an Ubuntu VM restart the service as follows: Review logs in /var/log on your Ubuntu VM for indications as to why the service may not be responding.

You can also monitor the syslog during a remote desktop connection attempt to view any errors: Other Linux distributions such as Red Hat Enterprise Linux and SUSE may have different ways to restart services and alternate log file locations to review.

Launch a Windows Virtual Machine is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

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With Amazon WorkSpaces, you pay either monthly or hourly just for the Amazon WorkSpaces you launch, which helps you save money when compared to traditional desktops and on-premises Virtual Desktop Infrastructure (VDI) solutions.


open-vm-tools is a set of services and modules that enable several features in VMware products for better management of, and seamless user interactions with, guests.

It includes kernel modules for enhancing the performance of virtual machines running Linux or other VMware supported Unix like guest operating systems.

open-vm-tools enables the following features in VMware products: The following components have been released as open source software: Yes.

open-vm-tools packages for user space components are available with new versions of major Linux distributions, and are installed as part of the OS installation in several cases.

Installing open-vm-tools from the Linux vendor's repository reduces virtual machine downtime because future updates to open-vm-tools are included with the OS maintenance patches and updates. NOTE:

'open-vm-tools' is the core package without any dependencies on X libraries and 'open-vm-tools-desktop' is an additional package with dependencies on 'open-vm-tools' core package and X libraries.

Under the terms of the GPL, open source community members are able to use the open-vm-tools code to develop their own applications, extend it, and contribute to the community.

There are certain third party components released under BSD style licenses, to which VMware has in some cases contributed, and will continue to distribute with open-vm-tools.

We chose the LGPL v2.1 for the user level components because some of the code is implemented as shared libraries and we do not wish to restrict proprietary code from linking against those libraries.

However, we do currently make use of certain components licensed from third parties as well as components from other VMware products which are only available in binary form.

More information about Automake can be found here: The following steps will work on most recent Linux distributions: If you are looking for help or additional settings for the building of this project, the following configure command will display a list of help options: When using configure in the steps above it is only necessary to call ./configure once unless there was a problem after the first invocation.

Initially, you can submit bug fixes, patches and new features to the project development mailing list as attachments to emails or bug reports.

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