KitOps
@Kit_Ops
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Kit is an open source #MLOps project that packages your model, datasets, code, and configuration so data scientists and developers can use their preferred tools
Remote
Joined March 2024
Explore a complete MLOps workflow using → KitOps for model packaging → Cog for local testing → KAITO for scalable Kubernetes deployment read full article! https://t.co/Ie2Oiil2ve
cncf.io
[meta] Explore a complete MLOps workflow using KitOps for model packaging, Cog for local testing, and KAITO for scalable Kubernetes deployment. For ML engineers and AI app developers…
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Turn ML Training Notebook into Deployable ModelKits with KitOps and @marimo_io
https://t.co/VfVlZigoCe
jozu.com
Learn how to transform your ML training notebooks into deployable ModelKits using KitOps and Marimo. This comprehensive tutorial covers packaging your machine learning models with all dependencies,...
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Learn how to use Flux CD and KitOps together! If your aim is to build scalable, shareable ML deployment workflows using GitOps principles for production-ready AI/ML apps. read our latest blog👇 https://t.co/x85w1W72LG
jozu.com
Learn how to use Flux CD and KitOps together to create repeatable, shareable, and scalable ML deployment workflows using GitOps principles for production-ready AI/ML applications.
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It's Preptember, who's up for some cool stickers? 👀 Don't forget to check out @Kit_Ops during #Hacktoberfest Lots of good quality issues will be available for contributors! Join KitOps Discord community to explore and ask questions while you prepare. repo link👇
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Stop wrestling with ML deployment chaos. Your model works perfectly on your laptop, but breaks everywhere else? There's finally a solution: @Kit_Ops + OCI artifacts. Here's why this changes everything - https://t.co/myH2e4QQJI
#Mlops
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🚀 KitOps v1.8.0 → SBOM security, faster LLM deploys, smoother DX. Step closer to prod-grade #MLOps
@FriendsCallMeJW
@Kit_Ops 🔗 https://t.co/0CmjFQqz9o
github.com
Welcome to the v1.9.0 release of Kit! We've added some exciting new features and improvements. New Features Untagging ModelKits in remote repositories Prior to v1.9.0, using kit remove with the...
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Some issues are already available!
It's Preptember, who's up for some cool stickers? 👀 Don't forget to check out @Kit_Ops during #Hacktoberfest Lots of good quality issues will be available for contributors! Join KitOps Discord community to explore and ask questions while you prepare. repo link👇
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If you're facing similar issues, do check our new blog for possible solution!
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We just wrapped up our latest Community Call! 🎉 We discussed KServe, KitOps, and a lot more… If you missed it live, you can always watch the recording https://t.co/v7Fytm1W4Y
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Choose KitOps over Git for versioning, why? Git can't handle large AI models and datasets well, treating them as single chunks and making it inefficient and vulnerable. Git LFS complicates this, as clones might not match the original due to dependency on an external server.
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During #kubecon Hyderabad, we got lots of interesting questions around Kitops and @Jozu_AI We tried answering few in our latest article👇 https://t.co/XwildSA9JU
jozu.com
We had an incredible time at KubeCon India! Many attendees asked thoughtful questions about Jozu's architecture, deployment options, and integration capabilities. In this post, we address the most...
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Time to test another new lightweight model with interesting embedding usecase! Last time I tried Gemma3-270M with @Kit_Ops 👇 https://t.co/eDGXjmraRx
EmbeddingGemma is our new best-in-class open embedding model designed for on-device AI. 📱 At just 308M parameters, it delivers state-of-the-art performance while being small and efficient enough to run anywhere - even without an internet connection.
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Don't forget to explore our repo to find good issues during hacktoberfest!
The countdown is on. ⏱️👾☁️ Whether you're a pro or just starting out, you're invited to learn, build, & celebrate the #OpenSource community. Registration for #Hacktoberfest2025 opens September 15, 2025. 🔗 https://t.co/6ViVi7TpO5
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Use @Kit_Ops to create a ModelKit for LLM that contains everything needed to reproduce, test, or serve the model. Store it in your registry, then pull it into any environment, Kubernetes, serverless, or edge devices using the same CI/CD workflows you already trust. Link 👇
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An open-source DevOps tool – package and version AI/ML models, datasets, code, and configs into OCI artifacts.
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I just fine-tuned @GoogleDeepMind's "gemma-3-270m" and it's ready for secure deployment in production! → Imported and fine-tuned using @huggingface transformers on M4 → Packaged and versioned with @Kit_Ops → Pushed to @Jozu_AI Hub for production use and deployments All
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Just imported “Gemma 3 270M” from @huggingface into @Jozu_AI! 🚀 One of the smallest open-weight models out there: ✅ Light enough to run on a phone ✅ Perfect for fast, efficient fine-tuning I ran a quick fine-tune using a test dataset, wrapped it in a @Kit_Ops ModelKit,
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We're live
Our monthly KitOps community call will take place today at 11AM EST. If you're interested in learning more about the project, exploring ways to contribute, or just want to talk about ML, come join us! This month we will be joined by @ramiyengar, live on YouTube
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