Scaling Large Models: ZeRO Memory Optimization and FSDP

ZeRO Memory Optimization and PyTorch FSDP are critical for scaling Large Language Models beyond the limits of individual GPU VRAM. By partitioning parameters, gradients, and optimizer states, developers can reduce memory requirements by up to 8x, enabling the training of 7B+ parameter models on affordable hardware without hitting OOM errors.

FastAPI APIs: Building High-Performance Python Services

WordPress developer Ahmad Wael explains why moving heavy backend logic to FastAPI APIs is a game-changer. Learn how Pydantic models and automatic documentation can solve performance bottlenecks that plague traditional PHP REST extensions, allowing you to build faster, more reliable microservices alongside your WordPress setup.