I am currently researching the following two features for Computer Weekly, and I am keen to receive background information on deployments and use cases as well as vendor-neutral comments:
NAS vs SAN for AI storage – deadline 11/04/25 12:00 BST
- What kind of data – file, block, object – makes up data processed in AI workloads?
- What implications are there for the storage used?
- Is AI data mostly stored on NAS or SAN?
- Why does file storage dominate in AI?
- Can you store AI data on a SAN, and when is that likely to be better?
- Is it always better to store file data on a NAS?
- What other options are there besides NAS and SAN for AI data, such as object storage
Cloud storage for AI – pros, cons, options – deadline 18/04/25 12:00 BST
- What kinds of storage does AI generally require, in terms of performance, protocol etc?
- What kinds of storage are available in the main clouds?
- What kinds of cloud storage are required for AI processing in the cloud?
- What kinds of cloud storage can be used for AI processing on prem? And in what situations?
- Looking at the different kinds of cloud storage available, what are the pros and cons of each?
To contribute to either piece, please email with details in the first instance noting the deadlines above.