ai
73 posts in ai
Serving LLMs at Scale with KitOps, Kubeflow, and KServe
Learn how to deploy and serve large language models at scale using KitOps for packaging, Kubeflow for orchestration, and KServe for production-grade inference on Kubernetes.
How KitOps and Weights & Biases Work Together for Reliable Model Versioning
Learn how to combine Weights & Biases experiment tracking with KitOps ModelKits for reproducible ML workflows. This tutorial shows you how to train, package, and deploy models to production with full lineage tracking, automatic SBOM generation, and security scanning—eliminating the ‘works on my machine’ problem for ML deployments.
Brew Markets – AI Spending Bubble: OpenAI, Nvidia, Alibaba Pour Billions Into Infrastructure
OpenAI unveils $1 trillion datacenter plans while Alibaba commits $53B to AI infrastructure. Jozu CEO Brad Micklea suggests market turbulence will be manageable due to real use cases and revenue.
CIO – Doomprompting: Endless tinkering with AI outputs can cripple IT results
Frequently Asked Questions: A Deep Dive into Jozu and KitOps
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 common questions about on-premises deployment, security, workflows, and how KitOps compares to other tools.