Choosing Storage for AI Workloads: File, Block, or Object?
TrueNAS, Thursday, October 8th, 2026
TrueNAS explains how file, block and object storage each fit different stages of AI data pipelines.
TrueNAS argues that file, block and object storage are different structures suited to different jobs rather than competing options.
Using SNIA's definitions, it explains that file storage provides hierarchical POSIX access suited to dataset preparation, Jupyter notebooks and collaborative staging, block storage handles fixed-size chunks for transactional databases, and object storage addresses discrete blobs by key for large-scale corpora.
The post maps training corpora, pipeline databases and staging areas to the storage behaviors they need.