Storage Doubled in Price. Stop Copying Your Training Data.
Summary
Enterprise drive prices roughly doubled in a year as AI datacenters bought out the supply, and training teams pay the worst of it: every dataset revision becomes another full copy at hundreds of terabytes. The alternative is defining datasets instead of copying them. A dataset becomes a query plus a snapshot plus a manifest: the corpus stays canonical, features are extracted once (embeddings, captions, quality scores, scene boundaries), a filter carves the training set, and a new version is megabytes of manifest pointing at the same objects. Clustering removes near-duplicates before you pay to label or train on them. Mixpeek's MVS keeps vectors on your own object storage, replays any past version through the write-ahead log, and restores cold segments on first query. How it works: mixpeek.com/guides/vector-database-on-s3-object-storage
About this video
Enterprise drive prices roughly doubled in a year as AI datacenters bought out the supply, and training teams pay the worst of it: every dataset revision becomes another full copy at hundreds of terabytes. The alternative is defining datasets instead of copying them. A dataset becomes a query plus a snapshot plus a manifest: the corpus stays canonical, features are extracted once (embeddings, captions, quality scores, scene boundaries), a filter carves the training set, and a new version is megabytes of manifest pointing at the same objects. Clustering removes near-duplicates before you pay to label or train on them. Mixpeek's MVS keeps vectors on your own object storage, replays any past version through the write-ahead log, and restores cold segments on first query. How it works: mixpeek.com/guides/vector-database-on-s3-object-storage