Welcome back, you absolute madman! You finished Part 4, implemented Flash Attention, and squeezed FP8 out of your silicon. But the industry doesn't stop at dense Transformers. In 2024/2025, every major model (Grok, Mixtral, Gemini) uses Mixture of Experts (MoE) to scale to trillions of parameters without exploding compute costs.
Furthermore, if you actually try to run these monsters on a single node, you will hit the VRAM wall instantly. That is where CPU Offloading and Zero-Inference come to the rescue.
In this fifth and (I swear) final part, we will:
Implement MoE routing and Expert Parallelism using all-to-all communication.
Build a ZeRO-Offload mechanism to spill optimizer states to system RAM.
