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  • 1 month ago · ai

    How to Reduce GPU Cost by More Than 40% for ML Workloads

    TL;DR A100 → H100 → H200 marks a major performance leap. Choose based on memory needs, compute demands, and cost per workload. A100s remain highly cost‑efficien...

    #GPU cost optimization #A100 #H100 #H200 #ML training #ML inference #multi‑cloud GPU marketplace #Aquanode #deep learning hardware #compute efficiency
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