### Background and the LLM Inference Bottleneck When running large language models (LLMs), autoregressive generation is inherently "memory-bandwidth-bound"…
When deploying modern AI models (such as LLaMA, Flux, or Stable Diffusion), `torch.compile` — introduced in PyTorch 2.0 — is a powerful performance…