Provide "ubuntu" as the userid and the password set in above reset password step to authenticate. This will connect you to the VM's desktop environment. In the "Remmina Remote Desktop Client" wizard, select the RDP option from dropdown and paste the external ip and click enter.Note: If you don't have Remmina installed on your Linux machine, first Install Remmina as per your linux distribution. To connect using RDP via Linux machine, first note the external IP of the VM from VM details page,then from your local Linux machine, goto menu, in the search box type and select "Remmina".Now you are connected to the out of box TensorFlow Production and Development Kit environment via Windows Machine.Provide the username (e.g "ubuntu") and the password set in the above "Reset password" step to authenticate. In the "Remote Desktop connection" wizard, copy the public IP address and click connect Now the password for ubuntu user is set, you can connect to the VM's desktop environment from any local Windows Machine using RDP protocol or Linux Machine using Remmina.įrom your local windows machine, goto "start" menu, in the search box type and select "Remote desktop connection".Once connected, change the password for ubuntu user using below command.Open putty, paste the IP address and browse your private key you downloaded while deploying the VM, by going to SSH->Auth, click on Open.To connect to this instance through putty, copy the IPv4 Public IP Address On the EC2 Console page, instance is up and running.A summary page displays.To see this instance on EC2 Console click on EC2 Console link.TensorFlow Production and Development Kit will begin deploying. Be sure to download the key-pair which is available by default, or you can create the new key-pair and download it.Be sure that whichever Security Group you specify have ports 22 (for ssh), 3389 (for RDP) and 80 (for HTTP) exposed. Optionally change the network name and subnetwork names.(This defaults to t2.large instance type, 2 vCPUs and 8 GB RAM.) Optionally change the EC2 instance type.Choose Action: You can launch it through EC2 or from Website.(Let's choose Launch from website).Select a Region where you want to launch the VM(such as US East (N.Virginia)).Login with your credentials and follow the instruction.click on Continue to configuration.Open TensorFlow Production and Development Kit VM listing on AWS marketplace.Overview of Techlatest Stable Diffusion with AUTOMATIC1111 Web Interface.Creating and Managing Puppet Host from Foreman.How to connect to Ethereum Full node for Development.Preinstalled Javascript Packages and Frameworks.How to use Jupyter for multiuser environment.Metabase Data Visualization & BI Platform.Auto starting VMs within the same project.
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