Memory

  Virtual & Physical Memory
  Memory Types(Registers, Caches)
  Processes

GPU

  Introduction: What is GPU, Applications of GPU, Advantages, Disadvantages, CPU vs GPU, Dual GPU, Graphics Card
  Troubleshooting Nvidia GPU for ML Workload: Monitoring Pipeline, NVML(NVIDIA Management Library)
  Kubernetes Cluster Configuration on Nvidia GPU for ML Workload: GPU Node Configuration in kubernets Cluster, GPU Node deployment with argoCD
  CUDA
  Introduction
   Kernels, Blocks, Grid, Threads, Inter Thread Communication
   Vector Addition on GPU
   Streaming Multiprocessor (SMs), Graphics Processing Clusters (GPCs)
  VirtIO-GPU
  Terms: GPU Acceleration
  Graphics pipeline from Windows VM(guest) to physical GPU on the host