The GPU Scheduler is a Kubernetes extension designed to provide smart, atomic, and topology-aware GPU allocation for workloads. It addresses limitations in the default Kubernetes scheduler by offering fine-grained control over GPU resources, ensuring efficient utilization and preventing race conditions.

• Atomic Allocation: Uses Kubernetes Coordination Leases to lock GPUs, preventing double-booking and race conditions.
• Topology Awareness: Optimizes GPU assignment based on NVLink topology to maximize bandwidth for multi-GPU workloads.
• Fine-Grained Control: Supports requesting specific GPU counts, contiguous allocation policies, and specific GPU IDs.
• Three-Component Architecture: Scheduler Plugin, Webhook, and Agent.

For detailed documentation, including installation, usage, and architecture, please refer to the docs/.

• Architecture
• Usage Guide
• Development Guide
• Docker Guide
• API Reference
• RBAC
• Webhook Certificates

# Install with Helm
helm install gpu-scheduler charts/gpu-scheduler

For full installation instructions, including certificate setup, see the Installation Guide.