Jozu @Jozu_AI

The DevSecOps platform for Machine Learning Projects. Get your ML to production faster and more secure. jozu.com Joined January 2024

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Jozu @Jozu_AI

2 weeks ago

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.

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KitOps @Kit_Ops

2 weeks ago

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…

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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.

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Jozu @Jozu_AI

3 weeks ago

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.

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Hackmamba @hackmamba

a month ago

10 Must-Know Open Source Platform Engineering Tools for AI/ML Workflows | Guide by @Jozu_AI dev.to/jozu/10-must-k…

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Benny Ifeanyi @Bennykillua

a month ago

Learn about 10 Must-Know Open Source Platform Engineering Tools for AI/ML Workflows | Guide by @Jozu_AI and moi!

Hackmamba @hackmamba

a month ago

Learn about 10 Must-Know Open Source Platform Engineering Tools for AI/ML Workflows | Guide by @Jozu_AI and moi!

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KitOps @Kit_Ops

a month ago

KitOps and @Jozu_AI are trusted by highly secure government agencies for their critical infrastructure!

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Jozu @Jozu_AI

a month ago

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…

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Jozu @Jozu_AI

a month ago

Jozu provides the backbone for scalable ML deployments. When combined with KitOps, your models move through dev → staging → prod without breaking. Reproducible. Portable. Secure.

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Jozu @Jozu_AI

a month ago

Prompt injections and model theft aren’t theory; they’re happening. How are you protecting your LLMs?

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Jozu @Jozu_AI

a month ago

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.

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Arindam Majumder 𝕏 @Arindam_1729

a month ago

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.

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Jozu @Jozu_AI

a month ago

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.

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Daily open-sources @dailyfoss

2 months ago

An open-source DevOps tool – package and version AI/ML models, datasets, code, and configs into OCI artifacts.

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Jozu @Jozu_AI

2 months ago

Why teams are choosing Jozu for AI ops 👇 - 31% faster dev cycles - 3 days saved per model release - Fewer security issues w/ built-in scanning - EU AI Act–ready (signing, versioning, audits) - Works with your DevOps tools - OCI-based ModelKits via KitOps Try it now!

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Jozu @Jozu_AI

2 months ago

ML models rot without good MLOps. A proof-of-concept is cool, but a repeatable, versioned, auditable deployment is better. Jozu’s Hugging Face import + KitOps ModelKits turn Meta’s SAM into a production-grade artifact, from dev to K8s with audit trails.