# Platform management - [Manage AI Initiatives](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/aiinitiatives.md) - [Adapting AI Initiatives to Your Organization](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/aiinitiatives/adapting-ai-initiatives.md) - [Managing Your Organization](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/aiinitiatives/organization.md) - [Projects](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/aiinitiatives/organization/projects.md) - [Departments](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/aiinitiatives/organization/departments.md) - [Managing Your Resources](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/aiinitiatives/resources.md) - [Nodes](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/aiinitiatives/resources/nodes.md) - [Configuring NVIDIA MIG Profiles](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/aiinitiatives/resources/mig-profiles.md) - [Using GB200 NVL72 and Multi-Node NVLink Domains](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/aiinitiatives/resources/using-gb200.md) - [Accelerating Workloads with Network Topology-Aware Scheduling](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/aiinitiatives/resources/topology-aware-scheduling.md) - [Node Pools](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/aiinitiatives/resources/node-pools.md) - [Scheduling and Resource Optimization](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/runai-scheduler.md) - [Scheduling](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/runai-scheduler/scheduling.md) - [The NVIDIA Run:ai Scheduler: Concepts and Principles](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/runai-scheduler/scheduling/concepts-and-principles.md) - [How the Scheduler Works](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/runai-scheduler/scheduling/how-the-scheduler-works.md) - [Setting the Default Scheduler](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/runai-scheduler/scheduling/default-scheduler.md) - [Workload Priority and Preemption](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/runai-scheduler/scheduling/workload-priority-control.md) - [Quick Starts](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/runai-scheduler/scheduling/quick-starts.md) - [Over Quota, Fairness and Preemption](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/runai-scheduler/scheduling/quick-starts/over-quota.md) - [Resource Optimization](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/runai-scheduler/resource-optimization.md) - [GPU Fractions](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/runai-scheduler/resource-optimization/fractions.md) - [Dynamic GPU Fractions](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/runai-scheduler/resource-optimization/dynamic-fractions.md) - [Optimize Performance with Node Level Scheduler](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/runai-scheduler/resource-optimization/node-level-scheduler.md) - [GPU Time-Slicing](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/runai-scheduler/resource-optimization/time-slicing.md) - [GPU Memory Swap](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/runai-scheduler/resource-optimization/memory-swap.md) - [CPU Compute and Memory Allocation](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/runai-scheduler/resource-optimization/allocation-of-cpu-and-memory.md) - [Quick Starts](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/runai-scheduler/resource-optimization/quick-starts.md) - [Launching Workloads with GPU Fractions](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/runai-scheduler/resource-optimization/quick-starts/gpu-fractions-quickstart.md) - [Launching Workloads with Dynamic GPU Fractions](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/runai-scheduler/resource-optimization/quick-starts/dynamic-gpu-fractions-quickstart.md) - [Launching Workloads with GPU Memory Swap](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/runai-scheduler/resource-optimization/quick-starts/gpu-memory-swap-quickstart.md) - [Policies](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/policies.md) - [Policies and Rules](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/policies/policies-and-rules.md) - [Workload Policies](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/policies/workload-policies.md) - [Policy YAML Examples](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/policies/policy-yaml-examples.md) - [Policy YAML Reference](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/policies/policy-yaml-reference.md) - [Scheduling Rules](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/policies/scheduling-rules.md) - [Monitor Performance and Health](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/monitor-performance.md) - [Before You Start](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/monitor-performance/before-you-start.md) - [Monitor Workloads by Category](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/monitor-performance/workload-categories.md) - [GPU Profiling Metrics](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/monitor-performance/gpu-profiling-metrics.md) - [Metrics and Telemetry](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/monitor-performance/metrics.md) - [Reports](https://run-ai-docs.nvidia.com/self-hosted/2.24/platform-management/monitor-performance/reports.md) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. 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