AI Optimization

SIMD, GPU architecture, and quantization — making AI fast on real hardware.

  1. SIMD & Vectorization SSE, AVX-512, NEON — processing multiple data elements per instruction for ML and HPC workloads.
  2. GPU Architecture Warps, SMs, memory hierarchy — how GPUs achieve massive parallelism for AI workloads.
  3. Quantization for Inference INT8, FP8, GPTQ, AWQ — shrinking model weights for faster and cheaper inference.