[K8S device-plugin] Use the vgpu project to analyze the relationship between device-plugin, Scheduler Extender Plugin, and KubeSchedulerConfiguration

Project https://github.com/4paradigm/k8s-vgpu-scheduler/ How k8s-vgpu-scheduler implements vgpu resource allocation apiVersion: v1 Kind: Pod metadata: name: gpu-pod spec: containers: – name: ubuntu-container image:ubuntu:18.04 command: [“bash”, “-c”, “sleep 86400”] resources: limits: nvidia.com/gpu: 2 # requesting 2 vGPUs nvidia.com/gpumem: 3000 # Each vGPU contains 3000m device memory (Optional, Integer) nvidia.com/gpucores: 30 # Each vGPU uses 30% of the entire […]