When you purchase through links on our site, we may earn an affiliate commission.Heres how it works.
This fuels further data generation forming a “virtuous AI data cycle” which drives AI development forward.
Peter Hayles, Product Marketing Manager HDD, Western Digital.
The first stage is focused on collecting existing raw data and storage.
Here, high-capacitySSDsare needed to enhance existing HDD storage or to create new all-flash storage systems.
This ensures swift access to organised and prepared data.
Then comes the next phase of training of AI models to make accurate projections with training data.
This phase typically occurs on high-performance supercomputers requiring specific and high-performance storage solutions to operate as effectively as possible.
Then, AI models will integrate into internet and client applications without needing to interchange current systems.
This means that maintaining current systems alongside new AI computing will require further storage.
At this stage, the engines level of efficiency is critical in achieving quick and accurate AI responses.
Therefore, to ensure a comprehensive data analysis, significant storage performance is essential.
This stage completes the data cycle, by continually enhancing data value for future model training and analysis.
Todays AIapplicationsuse data to produce text, video, images and various other forms of interesting content.
We’ve featured the best data recovery service.
The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
If you are interested in contributing find out more here:https://www.techradar.com/news/submit-your-story-to-techradar-pro
