How to deploy NVMe flash storage for artificial intelligence

Artificial intelligence (AI) applications are inherently data-intensive, with multiple reads and writes to the file system. And, at the outset, the AI algorithm absorbs tremendous amounts of training data as it learns the parameters of its job. Once that is done, your AI system then diligently performs its task, but it has to output the results somewhere. And, as AI applications scale, they can encounter storage-related bottlenecks that can harm performance. So, at every stage in the deployment, training and operation of AI systems, storage is a big consideration.