Accelerate ND-Parallel: Multi-GPU training with FSDP/TP/DP using Accelerate and Axolotl

AI Impact Summary

The guide demonstrates configuring multi-GPU training with ND-Parallel in Accelerate by combining DP, TP, and FSDP, leveraging FullyShardedDataParallelPlugin and ParallelismConfig. This enables training very large models (e.g., Hermes-3-Llama-3.1-8B) across multiple GPUs and nodes by sharding weights and distributing data, reducing per-device memory pressure. Teams can adopt the provided example configs and Axolotl integration to optimize throughput, but must manage the added complexity of coordinating multiple parallelism strategies and device meshes.