Poppy the training box, part 1: the beginnings (www.gilesthomas.com)

The creator of the "Poppy" training box has embarked on a project to build a dedicated machine for local training of language models, moving away from a dual-use desktop that strained performance during training runs. Upgrading from a GTX 1660 Super to an RTX 3090, they aim to enhance training capabilities and ease multitasking by creating a more powerful machine that could potentially support multiple GPUs. This endeavor began with a repurposed old PC and highlights both the technical challenges and long-term aspirations of setting up an efficient machine for AI experimentation. This project is significant for the AI/ML community as it demonstrates grassroots innovation in local model training, emphasizing the importance of accessible hardware setups. The creator encountered various issues, including thermal management and GPU utilization, illustrating the practical challenges faced by hobbyists and researchers in deep learning. The completed tests on the modified system resulted in an interesting finding: despite running fewer total training tokens, the outcomes of both models were comparable, underscoring the impact of hardware choice on efficiency and performance in model training. As the creator continues to refine their setup, insights into local LLM training will increasingly benefit the broader community.