Global AI and Data Science

Global AI & Data Science

Train, tune and distribute models with generative AI and machine learning capabilities


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  • 1.  Need guidance on storage cost optimization for LLM training

    Posted 07/21/26 02:13 AM
    I'm still looking for insights into optimizing storage costs for large language model training workloads. Many of the discussions have focused on best practices, but I haven't found concrete guidance on cost-effective storage tiers, data layout, or tiered caching approaches. If anyone has experience or resources on this topic, I would greatly appreciate your advice. Thank you!


  • 2.  RE: Need guidance on storage cost optimization for LLM training

    Posted 08/06/26 11:50 PM

    This is an important consideration as LLM training workloads continue to grow. Separating frequently accessed training data from older datasets and using different storage tiers based on access requirements can help control costs. Caching can also reduce repeated data movement and improve overall efficiency. This related IBM Community discussion may also be useful: https://community.ibm.com/community/user/blogs/click herevincent-hsu/2026/03/06/storage-is-the-foundation-of-enterprise-ai



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    Johnson smith
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