Research and Engineering Studio (RES) is an AWS supported open source product that enables IT administrators to provide an easy-to-use web portal for scientists and engineers to run technical computing workloads on AWS.
Amazon Machine Images (AMIs) are used to spin up virtual desktops (VDIs) in RES with specific configurations. Each AMI has an associated ID that differs per region. The AMI ID configured in RES to launch Windows Nvidia instances in ap-souteast-2 (Sydney) is currently incorrect.
AMI-ID ‘ami-0e190f8939a996caf’ for this type of instance configuration is incorrectly listed in ap-souteast-2 (Sydney). AMI ID ‘ami-027cf6e71e2e442f4’ should be used instead.
Affected versions
This issue affects all RES version 2024.04.02 or earlier
Mitigation
The following mitigation has been tested on RES version 2024.01.01
Register a new software stack with the following settings
AMI ID: ami-027cf6e71e2e442f4
Operating System: Windows
GPU Manufacturer: NVIDIA
Min. Storage Size (GB): 30
Min. RAM (GB): 4
Use this software stack to launch Windows - NVIDIA instances
Bug description
Amazon Machine Images (AMIs) are used to spin up virtual desktops (VDIs) in RES with specific configurations. Each AMI has an associated ID that differs per region. The AMI ID configured in RES to launch Windows Nvidia instances in ap-souteast-2 (Sydney) is currently incorrect.
AMI-ID ‘ami-0e190f8939a996caf’ for this type of instance configuration is incorrectly listed in ap-souteast-2 (Sydney). AMI ID ‘ami-027cf6e71e2e442f4’ should be used instead.
Affected versions
This issue affects all RES version 2024.04.02 or earlier
Mitigation
The following mitigation has been tested on RES version 2024.01.01