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
Explore a complete MLOps workflow using
→ KitOps for model packaging
→ Cog for local testing
→ KAITO for scalable Kubernetes deployment
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HAMi lab worth bookmarking: ModelKit → `kit unpack` in an initContainer → SGLang/vLLM on HAMi GPU shares.
~60 min · Jul 2026
project-hami.io/tutorials/labs…
Sample uses Jozu Hub; any OCI registry works the same way.
The KitOps Project wrap is here! 🎉
Huge shoutout to @SaiyamPathak and @kubesimplify
for building such an awesome project.
Thanks to everyone who supported KitOps along the way!
Learn how to package an LLM into a ModelKit, deploy it using KServe inference endpoints, and run it on Kubeflow with Jozu orchestration
→ all without needing dedicated GPUs. Practical LLM serving at scale.