Tag: distributed training

  • AWS News Blog: New Amazon EC2 P5en instances with NVIDIA H200 Tensor Core GPUs and EFAv3 networking

    Source URL: https://aws.amazon.com/blogs/aws/new-amazon-ec2-p5en-instances-with-nvidia-h200-tensor-core-gpus-and-efav3-networking/ Source: AWS News Blog Title: New Amazon EC2 P5en instances with NVIDIA H200 Tensor Core GPUs and EFAv3 networking Feedly Summary: Amazon EC2 P5en instances deliver up to 3,200 Gbps network bandwidth with EFAv3 for accelerating deep learning, generative AI, and HPC workloads with unmatched efficiency. AI Summary and Description: Yes **Summary:**…

  • Hacker News: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders

    Source URL: https://github.com/PaulPauls/llama3_interpretability_sae Source: Hacker News Title: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text outlines a research project focused on the interpretability of the Llama 3 language model using Sparse Autoencoders (SAEs). This project aims to extract more clearly interpretable features from…

  • Hacker News: Data movement bottlenecks to large-scale model training: Scaling past 1e28 FLOP

    Source URL: https://epochai.org/blog/data-movement-bottlenecks-scaling-past-1e28-flop Source: Hacker News Title: Data movement bottlenecks to large-scale model training: Scaling past 1e28 FLOP Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text explores the limitations and challenges of scaling large language models (LLMs) in distributed training environments. It highlights critical technological constraints related to data movement both…

  • Simon Willison’s Weblog: NousResearch/DisTrO

    Source URL: https://simonwillison.net/2024/Aug/27/distro/#atom-everything Source: Simon Willison’s Weblog Title: NousResearch/DisTrO Feedly Summary: NousResearch/DisTrO DisTrO stands for Distributed Training Over-The-Internet – it’s “a family of low latency distributed optimizers that reduce inter-GPU communication requirements by three to four orders of magnitude". This tweet from @NousResearch helps explain why this could be a big deal: DisTrO can increase…

  • Hacker News: DisTrO – a family of low latency distributed optimizers

    Source URL: https://github.com/NousResearch/DisTrO Source: Hacker News Title: DisTrO – a family of low latency distributed optimizers Feedly Summary: Comments AI Summary and Description: Yes Summary: The text refers to DisTrO, a system designed for optimizing distributed training processes in artificial intelligence environments. Its focus on reducing inter-GPU communication significantly enhances the efficiency and effectiveness of…