1. Meta's Llama 3 405B model training on 16,384 NVIDIA H100 GPUs experienced half of its failures due to HBM3 memory issues. 2. The 54-day training run encountered 419 unexpected component failures, averaging one every 3 hours. 3. Meta's team improved efficiency with proprietary diagnostic tools and managed 90% effective training time despite disruptions.