Llm Pre Training, Llm Architecture, Model Quantization, Scaling Model Training, Llm Domain Adaptation.
Each GPU requests data from others on-demand, materializing sharded data temporarily for the operation’s duration. The synchronization step then combines gradients across GPUs. FSDP allows for reduced overall GPU memory utilization and optional offloading of training computation to further optimize