MegaTrain: Full Precision Training of 100B+ Parameter LLMs on a Single GPU

MegaTrain enables training of 100B+ parameter large language models on a single GPU by leveraging host memory as primary storage and treating GPUs as compute-only engines, achieving 1.84x throughput improvements over existing distributed training solutions. This breakthrough significantly reduces infrastructure complexity and capital expenditure requirements for LLM development, allowing organizations to train massive models without expensive multi-GPU clusters. For IT organizations, this means dramatic cost reduction in AI infrastructure investments, simplified resource management, and democratized access to large-scale model training capabilities that previously required specialized distributed computing expertise and hardware.