We scaled Git to support 1 TB repos
I’ve been in the MLOps space for ~10 years, and data is still the hardest unsolved open problem. Code is versioned using Git, data is stored somewhere else, and context often lives in a 3rd location like Slack or GDocs. This is why we built XetHub, a platform that enables teams to treat data like code, using Git. Unlike Git LFS, we don’t just store the files. We use content-defined chunking and Merkle Trees to dedupe against everything in history. This allows small changes in large files to be stored compactly. Read more here:…
We scaled Git to support 1 TB repos launched on December 13, 2022 with 279 votes, #75 of 3,688 launches that month and more than 95% of that year's launches. The site was not reachable when checked in September 2026.
In plain words
XetHub is a platform that enables machine learning and data teams to version large datasets using Git, similar to how code is versioned. It uses content-defined chunking and Merkle Trees to efficiently deduplicate data across repository history, allowing small changes in large files to be stored compactly rather than duplicating entire files. The platform supports repositories up to 1 TB and includes a GitHub-like web interface with automatic CSV summaries, with plans to scale to 100 TB.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
I’ve been in the MLOps space for ~10 years, and data is still the hardest unsolved open problem. Code is versioned using Git, data is stored somewhere else, and context often lives in a 3rd location like Slack or GDocs. This is why we built XetHub, a platform that enables teams to treat data like code, using Git.…
Does a similar job
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- VCVersion code, models, & datasets together in GitHub2023 · ▲19
Hi HN! We just launched a GitHub integration that scales your Git repos to handle 100 terabytes of files in a single repo. XetData enables data scientists and machine learning engineers to version code, models, and datasets together. Most teams have glued together clunky workflows using S3, DVC, Git, Git LFS, and other tools and make true reproducibility difficult: https://news.ycombinator.com/item?id=37694701 We instead embrace and extend Git so end-users don’t need to learn a new tool and a new set of commands. Our implementation is similar to Git LFS, where we take over the…
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