The new `shutdown()` does not actually release the bulk of GPU memory it claims to free: `self.model_state`, `self.speculator`, `self.pooling_runner`, and `self.cudagraph_manager` all hold strong references to the model weights and/or large GPU buffers (captured CUDA graphs are typically several GiB), so `del self.model` followed by `gc.collect()`/`empty_cache()` cannot reclaim them. Also missing are `self.intermediate_tensors` (sized at `max_num_batched_tokens` on non-first PP ranks) and `self.