Running large language models (LLMs) often leads to a common frustration: the "CUDA Out of Memory" (OOM) error. Even with high-end A100 or H100 GPUs, standard inference engines waste a si…

GPU memory is the most constrained resource in deep learning. When you scale from a single GPU to distributed training using DistributedDataParallel (DDP) or Fully Sharded Data Parallel (FSDP), me…