Platform Capabilities and Resource Management - AMD Resource Manager provides administrators with tools to oversee and control platform computational resources, user access, cluster management, monitoring, and team access maintenance [1] - The dashboard offers an overview of clusters, nodes, graphics processing units, and running workloads, alongside project-level consumption metrics [2] - The system enables tracking of memory and device utilization over time at various intervals, alongside detailed cluster metrics and node information [4] Project Configuration and Resource Allocation - Projects include isolated users and compute resource quotas, ensuring workloads and secrets remain inaccessible across projects while supporting dynamic resource sharing based on real-time usage [3] - Project creation involves naming, description, cluster selection, and defining guaranteed resource allocations that act as priority classes to pause lower-quota workloads when necessary [5][6] - Projects support storage integration via S3 buckets, member management, and general settings modifications [7][8] User Onboarding and Access Control - User onboarding options include sign-on mechanisms as well as manual or email-based invitations through platform documentation [9] - Administrators can efficiently manage user access and oversee AI workloads across the platform [9]