A method to run large language models like Llama 3.1 on a single RTX 3090 by directly connecting GPU to NVMe storage bypassing CPU and RAM has been demonstrated, potentially improving performance for consumer GPUs. This innovation could significantly reduce latency and enhance efficiency in running resource-intensive AI models, offering content creators a more streamlined and faster process for utilizing large-scale language models.
Read the full article at Hacker News
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