Jozu
@Jozu_AI
The DevSecOps platform for Machine Learning Projects. Get your ML to production faster and more secure.
Today, we’re releasing a first version of Jozu PromptKit → a local-first tool for capturing, reviewing, and managing LLM prompt interactions. It ensures policy-controlled workflows for verified, auditable prompt artifacts in production Free to try and open source.
If you build and deploy AI systems, the EU AI Act changes the story. Now, it’s no longer enough for your systems to just work; you now also need to prove how they work. Record keeping, human oversight, transparency, and more, all these now matter for compliance. @Jozu_AI's…
Jozu isn’t just storage for ML models. It’s a secure OCI registry built for AI artifacts. With KitOps, you can version, sign, and deploy ModelKits directly from Jozu to Kubernetes.
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 youtube.com/live/GXulLGF14…
youtube.com
YouTube
KitOps Community Call - September 17th, 2025 (KServe edition!)
Deploying LLMs shouldn’t take days. Jozu Hub + Rapid Inference Containers = - 10x faster inference deployment - Auto-generated OCI-compatible runtimes - Works with open LLMs like DeepSeek, Llama Production-ready. Private. Fast.
From Hugging Face to Kubernetes via Jozu. - Import model into KitOps - Package as a ModelKit - Push to Jozu - Deploy with K8s manifests One workflow. Zero friction.
10 Must-Know Open Source Platform Engineering Tools for AI/ML Workflows | Guide by @Jozu_AI dev.to/jozu/10-must-k…
Learn about 10 Must-Know Open Source Platform Engineering Tools for AI/ML Workflows | Guide by @Jozu_AI and moi!
You may be familiar with platforms like @ApacheAirflow, @MLflow, and Prometheus. Others like @Kit_Ops, Feast, or @seldon_io might hide in plain sight. But once you connect them, the full map of AI/ML platform engineering comes into view. It’s a system of features, pipelines,…
KitOps and @Jozu_AI are trusted by highly secure government agencies for their critical infrastructure!
ML workflows often break at scale because model management becomes fragile: - Config drift - Inconsistent weights - Mismatched data - Hidden dependencies Jozu + KitOps make model versioning feel more like building Docker containers: structured, reproducible, and portable. It’s…
Jozu provides the backbone for scalable ML deployments. When combined with KitOps, your models move through dev → staging → prod without breaking. Reproducible. Portable. Secure.
Prompt injections and model theft aren’t theory; they’re happening. How are you protecting your LLMs?
AI workflows are evolving! But the way we store and share models hasn’t kept up. We don't just need model hosting. We need: • Version control • Dependency pinning • Audit logs • Private registries This is where Jozu Hub steps in.
The open standard for shipping AI the right way! 📦✨ KitOps is an open-source DevOps tool for - Packaging, - Versioning & - Securely sharing AI/ML models, datasets & code, All as OCI artifacts. Perfect for security-focused teams, clouds & self-hosted AI agents.
Your ML models are part of your infrastructure. • Versioning them like code • Packaging them like containers • Deploying with YAML • Rolling back with tags This tutorial shows exactly how to do that with Jozu + KitOps.
An open-source DevOps tool – package and version AI/ML models, datasets, code, and configs into OCI artifacts.
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