What AI Can Learn from HPC about Data Storage

By Timothy Sherbak, Quantum Corp. || The storage needs for organizations working to exploit AI have now bifurcated. While high performance solid-state storage is essential to power AI workloads and deliver real-time analytics and processing using hot" data, there's also the need to store, protect and retain massive data sets for extended periods of time and make them available for analysis on a random, but semi-regular, basis. Sound familiar, HPC community?

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