ZenML Blog

The latest news, opinions and technical guides from ZenML.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
MLOps
10 mins

Prefect Pricing Guide: Is the Platform Worth the Investment?

In this Prefect pricing guide, we break down the costs, features, and value to help you decide if it’s the right investment for your business.
Read post
MLOps
8 mins

What I Learned Building a Compliant Credit Scoring Pipeline (and how ZenML made it simple)

Manual EU AI Act compliance is unmanageable. This credit scoring pipeline shows how ZenML transforms regulatory requirements into automated workflows—from bias detection and risk assessment to human oversight gates and Annex IV documentation.
Read post
MLOps
8 mins

Banking on AI: Implementing Compliant MLOps for Financial Institutions

Traditional banks face growing pressure to deploy machine learning rapidly while meeting strict regulatory requirements. This blog post explores how modern MLOps practices, like automated data lineage, validation testing, and model observability can help financial institutions bridge the gap. Featuring real-world insights from NatWest and an open-source ZenML pipeline, it offers a practical roadmap for compliant, scalable AI deployment.
Read post
MLOps
7 mins

Stop Wasting Time Debating ML Platforms—Your Team Will Use Multiple Anyway

Future-proof your ML operations by building portable pipelines that work across multiple platforms instead of forcing standardization on a single solution.
Read post
MLOps
15 mins

MLflow vs Weights & Biases vs ZenML: What’s the Difference?

In this MLflow vs Weights & Biases vs ZenML article, we explain the difference between the three platforms and educate you about using them in tandem too.
Read post
MLOps
17 mins

We Tested 9 MLflow Alternatives for MLOps

Discover the best MLflow alternatives designed to improve all your ML operations.
Read post
MLOps
5 mins

Why Retail MLOps Is Harder Than You Think

An in-depth analysis of retail MLOps challenges, covering data complexity, edge computing, seasonality, and multi-cloud deployment, with real-world examples from major retailers like Wayfair and Starbucks, and practical solutions including ZenML's impact in reducing deployment time from 8.5 to 2 weeks at Adeo Leroy Merlin.
Read post
MLOps
5 mins

NVIDIA KAI Scheduler: Optimize GPU Usage in ZenML Pipelines

Discover how to optimize GPU utilization in Kubernetes environments by integrating NVIDIA's KAI Scheduler with ZenML pipelines, enabling fractional GPU allocation for improved resource efficiency and cost savings in machine learning workflows.
Read post
MLOps
12 mins

Unified MLOps for Defense: Bridging Cloud, On-Premises, and Tactical Edge AI

Learn how ZenML unified MLOps across AWS, Azure, on-premises, and tactical edge environments for defense contractors like the German Bundeswehr and French aerospace manufacturers. Overcome hybrid infrastructure complexity, maintain security compliance, and accelerate AI deployment from development to battlefield. Essential guide for defense AI teams managing multi-classification environments and $1.5B+ military AI initiatives.
Read post
Oops, there are no matching results for your search.

Start deploying reproducible AI workflows today

Enterprise-grade MLOps platform trusted by thousands of companies in production.