The purpose of this application note is to provide information on how to run arivis Vision4D on an Amazon AWS EC2 Virtual Machine.
Running arivis Vision4D on an AWS instance requires the same considerations that arise when you want to use arivis Vision4D on an on-premises virtual machine:
Please refer to the general System Requirements first.
Use the Amazon EC2 console to launch a Windows instance. Choose a suitable Amazon Machine Image (AMI), e.g. a Windows Server 2019 Base (or later). From the Instance type list, you can select the hardware configuration for your instance.
To be able to use 3D graphics a graphics capable type should be selected. We recommend a G5 instance (or later). Amazon EC2 G5 instances are NVIDIA GPU-based instances that can be used for a wide range of graphics-intensive and machine learning use cases. Most important: G5 instances offer NVIDIA RTX Enterprise drivers at no additional cost to provide high quality 3D workstations.
Please note: we don’t recommend the use of Amazon Elastic Graphics. Even if arivis Vision4D could work with it in theory, it is very slow and unstable. If you want to store large data in the VM, a correspondingly large disk should be provided, e.g. an Amazon Elastic Block Store (Amazon EBS) volume.
Launch your instance as usual. Make sure that the security group allows to connect using Remote Desktop (TCP port 3389). To connect to the running instance, you must retrieve the initial administrator password and then enter this password when you connect to your instance using Remote Desktop.