Multi-Node Multi-GPU Training: Comparing Accelerate and DeepSpeed for Large Model Pre-training
Initial weight synchronization: ```
ls -l /data/xxx/gpu008/MoeRemake/train/etuning/LLaMA-Factory2/models/xxx-Base-10B-200k-Llama
Environment synchronization: ```
./scp_batch.sh "/data/xxx/miniconda3/envs/etuning4/" "/data/vayu/miniconda3/envs/etuning4/" gpu004 gpu006
./scp_batch.sh "/data/xxx/train/etuning/LLaMA-Fact ...
Posted on Sun, 09 Aug 2026 16:54:29 +0000 by ddemore
Distributed Darknet Training: A Four-Step Guide to Multi-GPU Acceleration
1. Environment Setup and GPU Verification
Before leveraging multiple GPUs, confirm that CUDA is properly configured and all device are accessible. Darknet uses environment variables and compilation flags to manage GPU resources.
Validate CUDA: Run nvcc --version to check the CUDA toolkit version. Use nvidia-smi to list all available GPUs and t ...
Posted on Wed, 15 Jul 2026 17:14:54 +0000 by toppac