New Deep Dive: Inference Pipeline for Self-Play

We trace the path of a single inference request in an AlphaZero-style AI learning via self-play. We touch on:

- C++20 coroutines for non-blocking concurrency
- a lock-free queue for the CPU-GPU handoff
- pinned memory for fast PCIe transfers
- greedy batching
- pipelined GPU workers to hide synchronization stalls
- a sharded LRU cache to skip redundant evaluations
- TensorRT for optimized GPU inference

Read: https://lnkd.in/gvPdvEWi