The growth of AI is driving exponential growth in computing power and a doubling of networking speeds every few years. Less well-known is that it’s also putting new demands on storage. Training new models typically requires high-bandwidth networked access to petabytes of data, while inference with the latest types of retrieval augmented generation (RAG) requires low-latency access to…
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