Experimental News Clipping Site

Tag: batch sizes

  • Cloud Blog: How Baseten achieves 225% better cost-performance for AI inference (and you can too)

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-baseten-achieves-better-cost-performance-for-ai-inference/ Source: Cloud Blog Title: How Baseten achieves 225% better cost-performance for AI inference (and you can too) Feedly Summary: Baseten is one of a growing number of AI infrastructure providers, helping other startups run their models and experiments at speed and scale. Given the importance of those two factors to its customers,…

  • Hacker News: DeepSeek Open Source Optimized Parallelism Strategies, 3 repos

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    by

    Kurt Seifried
    in

    Source URL: https://github.com/deepseek-ai/profile-data Source: Hacker News Title: DeepSeek Open Source Optimized Parallelism Strategies, 3 repos Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses profiling data from the DeepSeek infrastructure, specifically focusing on the training and inference framework utilized for AI workloads. It offers insights into communication-computation strategies and implementation specifics, which…

  • Cloud Blog: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/preprocessing-large-datasets-with-ray-and-gke/ Source: Cloud Blog Title: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise Feedly Summary: The exponential growth of machine learning models brings with it ever-increasing datasets. This data deluge creates a significant bottleneck in the Machine Learning Operations (MLOps) lifecycle, as traditional data preprocessing methods struggle to scale. The…

  • Hacker News: A Replacement for Bert

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    system automation
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    Source URL: https://huggingface.co/blog/modernbert Source: Hacker News Title: A Replacement for Bert Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the introduction of ModernBERT, an advanced encoder-only model that surpasses older models like BERT in both performance and efficiency. Boasting an increased context length of 8192 tokens, faster processing…

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

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    system automation
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    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…