Build a ground-up understanding of why GPU computing dominates robotics AI: from transistors and memory bandwidth to CUDA parallelism, FLOPS, and how neural networks run on robot hardware. Includes real CUDA code snippets.
Topics: Transistor gates → DRAM bandwidth → SIMT threads → CUDA SMs → Tensor Cores → TensorRT inference → robot perception latency.