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XetHub — Scaling Git and GitHub to support 1 TB repos
In MLOps, code is versioned in Git while data & context live somewhere else. With XetHub, teams can collaborate on data like code.
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@bjarnbronsveld Thank you! Would love to get your feedback on trying XetHub. Easy to get sign up and we start you off with a tutorial repo so you can start to see the benefits of data in git immediately.
That's amazing - with XetHub, teams can now version their data just like they would with code in Git!
Hello, Product Hunters!👋
We’re ML Ops engineers (ex-Apple, ex-AWS), and we’re excited to launch XetHub, a collaborative storage platform for data management.
In our 10+ years in the industry, we’ve observed that collaborating on shared data projects is a universal pain point because there is so much to keep in sync. Code is versioned using Git, data is often stored somewhere else, and context often lives in a third location like Slack or Google Docs.
That’s why we created XetHub: to make working with data as fast and collaborative as working with code.
💾 Mount massive datasets in seconds without needing to download the files.
🧐 Easily propose and review changes on any type of file, and collaborate on datasets like you would in GitHub in repositories of up to 1 TB.
🔭 Automatically show off your changes with auto-generated summaries and user-defined custom visualizations.
This is just the beginning—we’re planning to scale XetHub to up to 100 TB next year to give ML teams a more powerful option.🚀
Try it out and let us know what you think! ➡️ https://xetdata.com
🙌🏼 Thanks in advance for your feedback and support!
@xetdata It's amazing how XetHub can combine the power of Git with the convenience of managing data in one place - this is definitely something worth trying out!
@xetdata @farisa_ottaviano Thanks! Would love your feedback as you start using XetHub. Sign up and we start you off with a tutorial repo so easy to get familiar with basics and progress to data summaries and custom visualization.
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