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Storage becomes critical for AI performance
In a recent blog post Wes Vaske, Principal Solutions Engineer at Micron, explained the growing importance of storage performance in today's AI and Machine Learning systems | |
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Comment
Welcome to the first Storage magazine eNewsletter of 2020, and perhaps - depending on what calendar interpretation you prefer - the first of a new decade! A fascinating feature below focuses on the growing importance of storage and memory considerations to AI and Machine Learning technologies. Wes Vaske of Micron was concerned at the apparent lack of emphasis on storage performance compared to compute performance when developing infrastructures capable of supporting AI/ML workloads. As GPUs have improved, so the impact on underlying storage has increased.
Vaske comments: “It kind of makes sense why we haven't been talking about storage performance when we talk about AI systems - it hasn't been necessary to do so until recently. Additionally, if the trend continues (and we have no reason to think that it won't) the future is going to rely on our ability to architect storage systems that can manage the requirements of the next-generation GPUs.”
As IT generally moves towards wider use of AI/ML systems in IoT and Smart Edge deployments, storage and memory are going to be seen as a crucial backbone for future-proof infrastructures.
David Tyler,
Editor
david.tyler@btc.co.uk
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