XetHub is a development platform for machine learning models that automatically versions and tracks assets across ML stacks to enable collaboration with guaranteed reproducibility.

XetHub

XetHub enables machine learning teams to collaborate effectively on massive datasets.

Currently, teams are stuck gluing together many different tools to enable a slow, clunky, and error-prone workflow for ML projects.

XetHub is a version controlled blob store that enables ML practitioners to instantly access and collaborate on TBs of models and data, streamlining the ML development process from prototype to production.

Thanks to our content deduplication system, you can store many versions of data without incurring much additional storage cost. This lets you time travel on petabyte-scale repositories—you can quickly recover an older version of a corrupted file or see how a file has changed over time. Easily compare models across branches of your data and code to choose the highest-performing one.

Founded in Seattle in 2021 by Apple and Amazon alumni, XetData is a fully remote-friendly employer. Our team is always eager to learn about new user workflows and data-related challenges in all domains.

Your data, your tools, your results: now faster than ever with XetHub.

Madrona

XetHub has been acquired by Hugging Face !

Read the announcement blog post here https://lnkd.in/d6JbTyQK

We share a vision of democratizing AI to enable everyone to host, share, and build models and datasets. At Hugging Face, we will continue to pursue this vision, integrating our technologies into the Hugging Face Hub to create the future of AI collaboration!

Some fun stats here:
• number of repos: 1.3m models, 450k datasets, 680k spaces
• total cumulative size: 12PB stored in LFS (280M files) / 7,3 TB stored in git (non-LFS)
• Hub’s daily number of requests: 1B
• daily Cloudfront bandwidth: 6PB 🤯🤯

So excited to be in Toronto for a wonderful Toronto Machine Learning Society (TMLS) weekend! Come join us:

Friday: 👋 Say hi and grab some swag at our booth
Saturday: Sweet LLM hackathon with ⚡Lightning AI
Sunday: Fun community picnic 🧺 with the whole Toronto scene

🧞‍♂️ Ever wished you could share an interactive view of your work with a collaborator, instead of static screenshots and long descriptions? 🤓 Wouldn't it be nice to quickly review differences on binary files in the browser like you do with code? ✨ Now you can, with XetHub custom views.

Custom views lets you create interactive views that live alongside the files in your repository, bringing instant context to opaque binary files whether you're browsing or comparing files. Quickly create your first view using our built-in Python editor, or leverage templates from our view gallery for easy onboarding.

Try it for yourself! https://lnkd.in/gViqEG4h

🤖 AI has been a hot topic for years — but how can we produce robust, AI-driven products that people want to engage with? 🤔

If you want to do more than just tack AI onto your next project, you need to thoughtfully consider your objectives, software engineering best practices, and how you plan to incorporate the latest AI techniques and technology. 🧠💻

The field is constantly evolving, but one thing you'll never outgrow is setting up good engineering practices from the very beginning. 🚀✅

Here's our advice for building AI into your next project 👇 
https://lnkd.in/d8_q7kWP

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