Session
Spiderpool Updates For AI Workloads: DRA, NRI, and RDMA Observability
Currently, the RDMA device plugin cannot coordinate the allocation of PCIe-affined RDMA devices based on GPU device allocation and requires users to manually ensure consistency between RDMA resources and Multus network configurations in the Pod YAML. To address this, Spiderpool introduces DRA to declare RDMA resources and network interfaces, significantly simplifying the configuration complexity in Pod YAML. Additionally, during Pod startup, Spiderpool leverages NRI to dynamically insert RDMA devices with GPU affinity, ensuring optimal GPU Direct RDMA performance.
Furthermore, existing community projects lack support for exporting metrics for isolated RDMA devices based on SR-IOV. Spiderpool bridges this gap by exporting comprehensive RDMA metrics for both Pods and nodes to Prometheus. It enables RDMA observability from multiple perspectives, including AI tasks.
These features represent groundbreaking innovations within the community, effectively empowering AI workloads.
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