Accelerating ML Development with DevPods and ModelKits
Learn how DevPods and ModelKits improve ML development by offering pre-configured environments, version-controlled artifacts, and seamless sharing.
Jesse Williams COO/CMO · January 28, 2025
The Jozu Blog
What’s Next for the KitOps Project
KitOps has been proven production and by some of the most demanding organizations and it’s ready for whatever you can throw at it!
Brad Micklea · January 23, 2025
KitOps v1.0.0 is Now Generally Available, Featuring Hugging Face to ModelKit Import
KitOps v1.0.0 is now generally available. This release includes performance improvements and the ability to import models Hugging Face models to ModelKits directly.
Angel Misevski · January 22, 2025
Why We Need Purpose-Built Platform Engineering Tools for AI/ML
Discover why AI/ML demands purpose-built platform engineering tools and how Jozu simplifies scalability, collaboration, and innovation.
Jesse Williams COO/CMO · January 14, 2025
AIOps vs DevOps vs MLOps vs LLMOps: Key Differences (2026)
What separates AIOps, DevOps, MLOps, and LLMOps — and which one do you actually need? Clear breakdown of scope, tools, and when to use each framework.
Jesse Williams COO/CMO · January 9, 2025
Understanding the MLOps Lifecycle
Master the MLOps lifecycle with this guide. Understand key stages like CI/CD, monitoring, and retraining, and discover how KitOps tackles common challenges.
Jesse Williams COO/CMO · December 17, 2024