Storage for AI Applications

AI is a technology which itself encompasses a broad range of use cases, largely divided into training and inference. In this webcast, we’ll look at what types of storage are typically needed for different aspects of AI, including different types of access (local vs. networked, block vs. file vs. object) and different performance requirements. We discuss how different AI implementations balance the use of on-premises vs. cloud storage.
Presented by Young Paik, Samsung; Brien Porter, Intel; Craig Tierney, NVIDIA; Tom Friend, Illuminosi

After you watch the presentation, check out the Q&A blog at https://bit.ly/3vsq3nY
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Видео Storage for AI Applications канала SNIAVideo