Author:

Steven Yuan

Company : StorageX.ai

 
 
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Efficiency of Data Centric Computing

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In today's data-driven world, the rapid growth of large datasets presents a significant challenge for many applications. At the same time, AI workloads are becoming increasingly dominant in various aspects, exhibiting growth not only in data size but also in throughput, latency requirements, and more.

Overcoming Real World Challenges between Data and AI

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In an era characterized by exponential growth in data generation, leveraging new infrastructure to manage data-heavy workloads especially Artificial Intelligence (AI) has become essential. Today we are going to discuss real world deployment of a new compute & network infrastructure to handle vast amounts of data efficiently and effectively. AI algorithms, particularly those deep learning domain, are designed to process, analyze, and derive insights from large datasets, enabling organizations to make data-driven decisions at unprecedented speed and accuracy.

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